Hyeonwoo Noh | Papers With Code

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aria-haspopup="true" aria-expanded="false"> Date Published <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="chevron-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 168.28c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 185.28c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L224 329.18l181.1-180.7c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </button> <div class="dropdown-menu" aria-labelledby="btnGroupDrop1"> <a class="dropdown-item" href="?q=author%3AHyeonwoo+Noh&order_by=date">Date Published</a> <a class="dropdown-item" href="?q=author%3AHyeonwoo+Noh&order_by=stars">Github Stars</a> </div> </div> <a href="?q=author%3AHyeonwoo+Noh&order=asc" type="button" class="btn btn-outline-secondary"> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="arrow-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 251.08c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 268.08c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L198 386.38V44.98c0-6.599 5.401-12 12-12h28c6.6 0 12 5.401 12 12v341.4l155.1-155.1c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </a> </div> </div> </div> </div> <div class="infinite-container text-center"> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/gpt-4-technical-report-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2303.08774.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/gpt-4-technical-report-1">GPT-4 Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/gpt-4-technical-report-1#code">11 code implementations</a> • <span class="item-conference-link"> <a href="/conference/preprint-2023-3"> Preprint 2023 </a> </span> • <span class="author-span "> <a href="/author/openai">OpenAI</a></span>, <span class="author-span "> <a href="/author/-1">:</a></span>, <span class="author-span "> <a href="/author/josh-achiam">Josh Achiam</a></span>, <span class="author-span "> <a href="/author/steven-adler">Steven Adler</a></span>, <span class="author-span "> <a href="/author/sandhini-agarwal">Sandhini Agarwal</a></span>, <span class="author-span "> <a href="/author/lama-ahmad">Lama Ahmad</a></span>, <span class="author-span "> <a href="/author/ilge-akkaya">Ilge Akkaya</a></span>, <span class="author-span "> <a href="/author/florencia-leoni-aleman">Florencia Leoni Aleman</a></span>, <span class="author-span "> <a href="/author/diogo-almeida">Diogo Almeida</a></span>, <span class="author-span "> <a href="/author/janko-altenschmidt">Janko Altenschmidt</a></span>, <span class="author-span "> <a href="/author/sam-altman">Sam Altman</a></span>, <span class="author-span "> <a href="/author/shyamal-anadkat">Shyamal Anadkat</a></span>, <span class="author-span "> <a href="/author/red-avila">Red Avila</a></span>, <span class="author-span "> <a href="/author/igor-babuschkin">Igor Babuschkin</a></span>, <span class="author-span "> <a href="/author/suchir-balaji">Suchir Balaji</a></span>, <span class="author-span "> <a href="/author/valerie-balcom">Valerie Balcom</a></span>, <span class="author-span "> <a href="/author/paul-baltescu">Paul Baltescu</a></span>, <span class="author-span "> <a href="/author/haiming-bao">Haiming Bao</a></span>, <span class="author-span "> <a href="/author/mohammad-bavarian">Mohammad Bavarian</a></span>, <span class="author-span "> <a href="/author/jeff-belgum">Jeff Belgum</a></span>, <span class="author-span "> <a href="/author/irwan-bello">Irwan Bello</a></span>, <span class="author-span "> <a href="/author/jake-berdine">Jake Berdine</a></span>, <span class="author-span "> <a href="/author/gabriel-bernadett-shapiro">Gabriel Bernadett-Shapiro</a></span>, <span class="author-span "> <a href="/author/christopher-berner">Christopher Berner</a></span>, <span class="author-span "> <a href="/author/lenny-bogdonoff">Lenny Bogdonoff</a></span>, <span class="author-span "> <a href="/author/oleg-boiko">Oleg Boiko</a></span>, <span class="author-span "> <a href="/author/madelaine-boyd">Madelaine Boyd</a></span>, <span class="author-span "> <a href="/author/anna-luisa-brakman">Anna-Luisa Brakman</a></span>, <span class="author-span "> <a href="/author/greg-brockman">Greg Brockman</a></span>, <span class="author-span "> <a href="/author/tim-brooks">Tim Brooks</a></span>, <span class="author-span "> <a href="/author/miles-brundage">Miles Brundage</a></span>, <span class="author-span "> <a href="/author/kevin-button">Kevin Button</a></span>, <span class="author-span "> <a href="/author/trevor-cai">Trevor Cai</a></span>, <span class="author-span "> <a href="/author/rosie-campbell">Rosie Campbell</a></span>, <span class="author-span "> <a href="/author/andrew-cann">Andrew Cann</a></span>, <span class="author-span "> <a href="/author/brittany-carey">Brittany Carey</a></span>, <span class="author-span "> <a href="/author/chelsea-carlson">Chelsea Carlson</a></span>, <span class="author-span "> <a href="/author/rory-carmichael">Rory Carmichael</a></span>, <span class="author-span "> <a href="/author/brooke-chan">Brooke Chan</a></span>, <span class="author-span "> <a href="/author/che-chang">Che Chang</a></span>, <span class="author-span "> <a href="/author/fotis-chantzis">Fotis Chantzis</a></span>, <span class="author-span "> <a href="/author/derek-chen">Derek Chen</a></span>, <span class="author-span "> <a href="/author/sully-chen">Sully Chen</a></span>, <span class="author-span "> <a href="/author/ruby-chen">Ruby Chen</a></span>, <span class="author-span "> <a href="/author/jason-chen">Jason Chen</a></span>, <span class="author-span "> <a href="/author/mark-chen">Mark Chen</a></span>, <span class="author-span "> <a href="/author/ben-chess">Ben Chess</a></span>, <span class="author-span "> <a href="/author/chester-cho">Chester Cho</a></span>, <span class="author-span "> <a href="/author/casey-chu">Casey Chu</a></span>, <span class="author-span "> <a href="/author/hyung-won-chung">Hyung Won Chung</a></span>, <span class="author-span "> <a href="/author/dave-cummings">Dave Cummings</a></span>, <span class="author-span "> <a href="/author/jeremiah-currier">Jeremiah Currier</a></span>, <span class="author-span "> <a href="/author/yunxing-dai">Yunxing Dai</a></span>, <span class="author-span "> <a href="/author/cory-decareaux">Cory Decareaux</a></span>, <span class="author-span "> <a href="/author/thomas-degry">Thomas Degry</a></span>, <span class="author-span "> <a href="/author/noah-deutsch">Noah Deutsch</a></span>, <span class="author-span "> <a href="/author/damien-deville">Damien Deville</a></span>, <span class="author-span "> <a href="/author/arka-dhar">Arka Dhar</a></span>, <span class="author-span "> <a href="/author/david-dohan">David Dohan</a></span>, <span class="author-span "> <a href="/author/steve-dowling">Steve Dowling</a></span>, <span class="author-span "> <a href="/author/sheila-dunning">Sheila Dunning</a></span>, <span class="author-span "> <a href="/author/adrien-ecoffet">Adrien Ecoffet</a></span>, <span class="author-span "> <a href="/author/atty-eleti">Atty Eleti</a></span>, <span class="author-span "> <a href="/author/tyna-eloundou">Tyna Eloundou</a></span>, <span class="author-span "> <a href="/author/david-farhi">David Farhi</a></span>, <span class="author-span "> <a href="/author/liam-fedus">Liam Fedus</a></span>, <span class="author-span "> <a href="/author/niko-felix">Niko Felix</a></span>, <span class="author-span "> <a href="/author/simon-posada-fishman">Simón Posada Fishman</a></span>, <span class="author-span "> <a href="/author/juston-forte">Juston Forte</a></span>, <span class="author-span "> <a href="/author/isabella-fulford">Isabella Fulford</a></span>, <span class="author-span "> <a href="/author/leo-gao">Leo Gao</a></span>, <span class="author-span "> <a href="/author/elie-georges">Elie Georges</a></span>, <span class="author-span "> <a href="/author/christian-gibson">Christian Gibson</a></span>, <span class="author-span "> <a href="/author/vik-goel">Vik Goel</a></span>, <span class="author-span "> <a href="/author/tarun-gogineni">Tarun Gogineni</a></span>, <span class="author-span "> <a href="/author/gabriel-goh">Gabriel Goh</a></span>, <span class="author-span "> <a href="/author/rapha-gontijo-lopes-1">Rapha Gontijo-Lopes</a></span>, <span class="author-span "> <a href="/author/jonathan-gordon">Jonathan Gordon</a></span>, <span class="author-span "> <a href="/author/morgan-grafstein">Morgan Grafstein</a></span>, <span class="author-span "> <a href="/author/scott-gray">Scott Gray</a></span>, <span class="author-span "> <a href="/author/ryan-greene">Ryan Greene</a></span>, <span class="author-span "> <a href="/author/joshua-gross">Joshua Gross</a></span>, <span class="author-span "> <a href="/author/shixiang-shane-gu">Shixiang Shane Gu</a></span>, <span class="author-span "> <a href="/author/yufei-guo">Yufei Guo</a></span>, <span class="author-span "> <a href="/author/chris-hallacy">Chris Hallacy</a></span>, <span class="author-span "> <a href="/author/jesse-han">Jesse Han</a></span>, <span class="author-span "> <a href="/author/jeff-harris">Jeff Harris</a></span>, <span class="author-span "> <a href="/author/yuchen-he">Yuchen He</a></span>, <span class="author-span "> <a href="/author/mike-heaton">Mike Heaton</a></span>, <span class="author-span "> <a href="/author/johannes-heidecke">Johannes Heidecke</a></span>, <span class="author-span "> <a href="/author/chris-hesse">Chris Hesse</a></span>, <span class="author-span "> <a href="/author/alan-hickey">Alan Hickey</a></span>, <span class="author-span "> <a href="/author/wade-hickey">Wade Hickey</a></span>, <span class="author-span "> <a href="/author/peter-hoeschele">Peter Hoeschele</a></span>, <span class="author-span "> <a href="/author/brandon-houghton">Brandon Houghton</a></span>, <span class="author-span "> <a href="/author/kenny-hsu">Kenny Hsu</a></span>, <span class="author-span "> <a href="/author/shengli-hu">Shengli Hu</a></span>, <span class="author-span "> <a href="/author/xin-hu">Xin Hu</a></span>, <span class="author-span "> <a href="/author/joost-huizinga">Joost Huizinga</a></span>, <span class="author-span "> <a href="/author/shantanu-jain">Shantanu Jain</a></span>, <span class="author-span "> <a href="/author/shawn-jain">Shawn Jain</a></span>, <span class="author-span "> <a href="/author/joanne-jang">Joanne Jang</a></span>, <span class="author-span "> <a href="/author/angela-jiang">Angela Jiang</a></span>, <span class="author-span "> <a href="/author/roger-jiang">Roger Jiang</a></span>, <span class="author-span "> <a href="/author/haozhun-jin">Haozhun Jin</a></span>, <span class="author-span "> <a href="/author/denny-jin">Denny Jin</a></span>, <span class="author-span "> <a href="/author/shino-jomoto">Shino Jomoto</a></span>, <span class="author-span "> <a href="/author/billie-jonn">Billie Jonn</a></span>, <span class="author-span "> <a href="/author/heewoo-jun">Heewoo Jun</a></span>, <span class="author-span "> <a href="/author/tomer-kaftan">Tomer Kaftan</a></span>, <span class="author-span "> <a href="/author/lukasz-kaiser-1">Łukasz Kaiser</a></span>, <span class="author-span "> <a href="/author/ali-kamali">Ali Kamali</a></span>, <span class="author-span "> <a href="/author/ingmar-kanitscheider">Ingmar Kanitscheider</a></span>, <span class="author-span "> <a href="/author/nitish-shirish-keskar">Nitish Shirish Keskar</a></span>, <span class="author-span "> <a href="/author/tabarak-khan">Tabarak Khan</a></span>, <span class="author-span "> <a href="/author/logan-kilpatrick">Logan Kilpatrick</a></span>, <span class="author-span "> <a href="/author/jong-wook-kim">Jong Wook Kim</a></span>, <span class="author-span "> <a href="/author/christina-kim">Christina Kim</a></span>, <span class="author-span "> <a href="/author/yongjik-kim">Yongjik Kim</a></span>, <span class="author-span "> <a href="/author/jan-hendrik-kirchner">Jan Hendrik Kirchner</a></span>, <span class="author-span "> <a href="/author/jamie-kiros">Jamie Kiros</a></span>, <span class="author-span "> <a href="/author/matt-knight">Matt Knight</a></span>, <span class="author-span "> <a href="/author/daniel-kokotajlo">Daniel Kokotajlo</a></span>, <span class="author-span "> <a href="/author/lukasz-kondraciuk">Łukasz Kondraciuk</a></span>, <span class="author-span "> <a href="/author/andrew-kondrich">Andrew Kondrich</a></span>, <span class="author-span "> <a href="/author/aris-konstantinidis">Aris Konstantinidis</a></span>, <span class="author-span "> <a href="/author/kyle-kosic">Kyle Kosic</a></span>, <span class="author-span "> <a href="/author/gretchen-krueger">Gretchen Krueger</a></span>, <span class="author-span "> <a href="/author/vishal-kuo">Vishal Kuo</a></span>, <span class="author-span "> <a href="/author/michael-lampe">Michael Lampe</a></span>, <span class="author-span "> <a href="/author/ikai-lan">Ikai Lan</a></span>, <span class="author-span "> <a href="/author/teddy-lee">Teddy Lee</a></span>, <span class="author-span "> <a href="/author/jan-leike">Jan Leike</a></span>, <span class="author-span "> <a href="/author/jade-leung">Jade Leung</a></span>, <span class="author-span "> <a href="/author/daniel-levy">Daniel Levy</a></span>, <span class="author-span "> <a href="/author/chak-ming-li">Chak Ming Li</a></span>, <span class="author-span "> <a href="/author/rachel-lim">Rachel Lim</a></span>, <span class="author-span "> <a href="/author/molly-lin">Molly Lin</a></span>, <span class="author-span "> <a href="/author/stephanie-lin">Stephanie Lin</a></span>, <span class="author-span "> <a href="/author/mateusz-litwin">Mateusz Litwin</a></span>, <span class="author-span "> <a href="/author/theresa-lopez">Theresa Lopez</a></span>, <span class="author-span "> <a href="/author/ryan-lowe">Ryan Lowe</a></span>, <span class="author-span "> <a href="/author/patricia-lue">Patricia Lue</a></span>, <span class="author-span "> <a href="/author/anna-makanju">Anna Makanju</a></span>, <span class="author-span "> <a href="/author/kim-malfacini">Kim Malfacini</a></span>, <span class="author-span "> <a href="/author/sam-manning">Sam Manning</a></span>, <span class="author-span "> <a href="/author/todor-markov">Todor Markov</a></span>, <span class="author-span "> <a href="/author/yaniv-markovski">Yaniv Markovski</a></span>, <span class="author-span "> <a href="/author/bianca-martin">Bianca Martin</a></span>, <span class="author-span "> <a href="/author/katie-mayer">Katie Mayer</a></span>, <span class="author-span "> <a href="/author/andrew-mayne">Andrew Mayne</a></span>, <span class="author-span "> <a href="/author/bob-mcgrew">Bob McGrew</a></span>, <span class="author-span "> <a href="/author/scott-mayer-mckinney">Scott Mayer McKinney</a></span>, <span class="author-span "> <a href="/author/christine-mcleavey">Christine McLeavey</a></span>, <span class="author-span "> <a href="/author/paul-mcmillan">Paul McMillan</a></span>, <span class="author-span "> <a href="/author/jake-mcneil">Jake McNeil</a></span>, <span class="author-span "> <a href="/author/david-medina">David Medina</a></span>, <span class="author-span "> <a href="/author/aalok-mehta">Aalok Mehta</a></span>, <span class="author-span "> <a href="/author/jacob-menick">Jacob Menick</a></span>, <span class="author-span "> <a href="/author/luke-metz">Luke Metz</a></span>, <span class="author-span "> <a href="/author/andrey-mishchenko">Andrey Mishchenko</a></span>, <span class="author-span "> <a href="/author/pamela-mishkin">Pamela Mishkin</a></span>, <span class="author-span "> <a href="/author/vinnie-monaco">Vinnie Monaco</a></span>, <span class="author-span "> <a href="/author/evan-morikawa">Evan Morikawa</a></span>, <span class="author-span "> <a href="/author/daniel-mossing">Daniel Mossing</a></span>, <span class="author-span "> <a href="/author/tong-mu">Tong Mu</a></span>, <span class="author-span "> <a href="/author/mira-murati">Mira Murati</a></span>, <span class="author-span "> <a href="/author/oleg-murk">Oleg Murk</a></span>, <span class="author-span "> <a href="/author/david-mely-1">David Mély</a></span>, <span class="author-span "> <a href="/author/ashvin-nair">Ashvin Nair</a></span>, <span class="author-span "> <a href="/author/reiichiro-nakano">Reiichiro Nakano</a></span>, <span class="author-span "> <a href="/author/rajeev-nayak">Rajeev Nayak</a></span>, <span class="author-span "> <a href="/author/arvind-neelakantan">Arvind Neelakantan</a></span>, <span class="author-span "> <a href="/author/richard-ngo">Richard Ngo</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/long-ouyang">Long Ouyang</a></span>, <span class="author-span "> <a href="/author/cullen-o-keefe">Cullen O'Keefe</a></span>, <span class="author-span "> <a href="/author/jakub-pachocki">Jakub Pachocki</a></span>, <span class="author-span "> <a href="/author/alex-paino">Alex Paino</a></span>, <span class="author-span "> <a href="/author/joe-palermo">Joe Palermo</a></span>, <span class="author-span "> <a href="/author/ashley-pantuliano">Ashley Pantuliano</a></span>, <span class="author-span "> <a href="/author/giambattista-parascandolo">Giambattista Parascandolo</a></span>, <span class="author-span "> <a href="/author/joel-parish">Joel Parish</a></span>, <span class="author-span "> <a href="/author/emy-parparita">Emy Parparita</a></span>, <span class="author-span "> <a href="/author/alex-passos">Alex Passos</a></span>, <span class="author-span "> <a href="/author/mikhail-pavlov">Mikhail Pavlov</a></span>, <span class="author-span "> <a href="/author/andrew-peng">Andrew Peng</a></span>, <span class="author-span "> <a href="/author/adam-perelman">Adam Perelman</a></span>, <span class="author-span "> <a href="/author/filipe-de-avila-belbute-peres-1">Filipe de Avila Belbute Peres</a></span>, <span class="author-span "> <a href="/author/michael-petrov">Michael Petrov</a></span>, <span class="author-span "> <a href="/author/henrique-ponde-de-oliveira-pinto-1">Henrique Ponde de Oliveira Pinto</a></span>, <span class="author-span "> <a href="/author/michael">Michael</a></span>, <span class="author-span "> <a href="/author/pokorny">Pokorny</a></span>, <span class="author-span "> <a href="/author/michelle-pokrass">Michelle Pokrass</a></span>, <span class="author-span "> <a href="/author/vitchyr-h-pong">Vitchyr H. Pong</a></span>, <span class="author-span "> <a href="/author/tolly-powell">Tolly Powell</a></span>, <span class="author-span "> <a href="/author/alethea-power">Alethea Power</a></span>, <span class="author-span "> <a href="/author/boris-power">Boris Power</a></span>, <span class="author-span "> <a href="/author/elizabeth-proehl">Elizabeth Proehl</a></span>, <span class="author-span "> <a href="/author/raul-puri">Raul Puri</a></span>, <span class="author-span "> <a href="/author/alec-radford">Alec Radford</a></span>, <span class="author-span "> <a href="/author/jack-rae">Jack Rae</a></span>, <span class="author-span "> <a href="/author/aditya-ramesh">Aditya Ramesh</a></span>, <span class="author-span "> <a href="/author/cameron-raymond">Cameron Raymond</a></span>, <span class="author-span "> <a href="/author/francis-real">Francis Real</a></span>, <span class="author-span "> <a href="/author/kendra-rimbach">Kendra Rimbach</a></span>, <span class="author-span "> <a href="/author/carl-ross">Carl Ross</a></span>, <span class="author-span "> <a href="/author/bob-rotsted">Bob Rotsted</a></span>, <span class="author-span "> <a href="/author/henri-roussez">Henri Roussez</a></span>, <span class="author-span "> <a href="/author/nick-ryder">Nick Ryder</a></span>, <span class="author-span "> <a href="/author/mario-saltarelli">Mario Saltarelli</a></span>, <span class="author-span "> <a href="/author/ted-sanders">Ted Sanders</a></span>, <span class="author-span "> <a href="/author/shibani-santurkar">Shibani Santurkar</a></span>, <span class="author-span "> <a href="/author/girish-sastry">Girish Sastry</a></span>, <span class="author-span "> <a href="/author/heather-schmidt">Heather Schmidt</a></span>, <span class="author-span "> <a href="/author/david-schnurr">David Schnurr</a></span>, <span class="author-span "> <a href="/author/john-schulman">John Schulman</a></span>, <span class="author-span "> <a href="/author/daniel-selsam">Daniel Selsam</a></span>, <span class="author-span "> <a href="/author/kyla-sheppard">Kyla Sheppard</a></span>, <span class="author-span "> <a href="/author/toki-sherbakov">Toki Sherbakov</a></span>, <span class="author-span "> <a href="/author/jessica-shieh">Jessica Shieh</a></span>, <span class="author-span "> <a href="/author/sarah-shoker">Sarah Shoker</a></span>, <span class="author-span "> <a href="/author/pranav-shyam">Pranav Shyam</a></span>, <span class="author-span "> <a href="/author/szymon-sidor">Szymon Sidor</a></span>, <span class="author-span "> <a href="/author/eric-sigler">Eric Sigler</a></span>, <span class="author-span "> <a href="/author/maddie-simens">Maddie Simens</a></span>, <span class="author-span "> <a href="/author/jordan-sitkin">Jordan Sitkin</a></span>, <span class="author-span "> <a href="/author/katarina-slama">Katarina Slama</a></span>, <span class="author-span "> <a href="/author/ian-sohl">Ian Sohl</a></span>, <span class="author-span "> <a href="/author/benjamin-sokolowsky">Benjamin Sokolowsky</a></span>, <span class="author-span "> <a href="/author/yang-song-1">Yang song</a></span>, <span class="author-span "> <a href="/author/natalie-staudacher">Natalie Staudacher</a></span>, <span class="author-span "> <a href="/author/felipe-petroski-such">Felipe Petroski Such</a></span>, <span class="author-span "> <a href="/author/natalie-summers">Natalie Summers</a></span>, <span class="author-span "> <a href="/author/ilya-sutskever">Ilya Sutskever</a></span>, <span class="author-span "> <a href="/author/jie-tang">Jie Tang</a></span>, <span class="author-span "> <a href="/author/nikolas-tezak">Nikolas Tezak</a></span>, <span class="author-span "> <a href="/author/madeleine-b-thompson">Madeleine B. Thompson</a></span>, <span class="author-span "> <a href="/author/phil-tillet">Phil Tillet</a></span>, <span class="author-span "> <a href="/author/amin-tootoonchian">Amin Tootoonchian</a></span>, <span class="author-span "> <a href="/author/elizabeth-tseng">Elizabeth Tseng</a></span>, <span class="author-span "> <a href="/author/preston-tuggle">Preston Tuggle</a></span>, <span class="author-span "> <a href="/author/nick-turley">Nick Turley</a></span>, <span class="author-span "> <a href="/author/jerry-tworek">Jerry Tworek</a></span>, <span class="author-span "> <a href="/author/juan-felipe-ceron-uribe">Juan Felipe Cerón Uribe</a></span>, <span class="author-span "> <a href="/author/andrea-vallone">Andrea Vallone</a></span>, <span class="author-span "> <a href="/author/arun-vijayvergiya">Arun Vijayvergiya</a></span>, <span class="author-span "> <a href="/author/chelsea-voss">Chelsea Voss</a></span>, <span class="author-span "> <a href="/author/carroll-wainwright">Carroll Wainwright</a></span>, <span class="author-span "> <a href="/author/justin-jay-wang">Justin Jay Wang</a></span>, <span class="author-span "> <a href="/author/alvin-wang">Alvin Wang</a></span>, <span class="author-span "> <a href="/author/ben-wang">Ben Wang</a></span>, <span class="author-span "> <a href="/author/jonathan-ward">Jonathan Ward</a></span>, <span class="author-span "> <a href="/author/jason-wei">Jason Wei</a></span>, <span class="author-span "> <a href="/author/cj-weinmann">CJ Weinmann</a></span>, <span class="author-span "> <a href="/author/akila-welihinda">Akila Welihinda</a></span>, <span class="author-span "> <a href="/author/peter-welinder">Peter Welinder</a></span>, <span class="author-span "> <a href="/author/jiayi-weng">Jiayi Weng</a></span>, <span class="author-span "> <a href="/author/lilian-weng">Lilian Weng</a></span>, <span class="author-span "> <a href="/author/matt-wiethoff">Matt Wiethoff</a></span>, <span class="author-span "> <a href="/author/dave-willner">Dave Willner</a></span>, <span class="author-span "> <a href="/author/clemens-winter">Clemens Winter</a></span>, <span class="author-span "> <a href="/author/samuel-wolrich">Samuel Wolrich</a></span>, <span class="author-span "> <a href="/author/hannah-wong">Hannah Wong</a></span>, <span class="author-span "> <a href="/author/lauren-workman">Lauren Workman</a></span>, <span class="author-span "> <a href="/author/sherwin-wu">Sherwin Wu</a></span>, <span class="author-span "> <a href="/author/jeff-wu">Jeff Wu</a></span>, <span class="author-span "> <a href="/author/michael-wu">Michael Wu</a></span>, <span class="author-span "> <a href="/author/kai-xiao">Kai Xiao</a></span>, <span class="author-span "> <a href="/author/tao-xu">Tao Xu</a></span>, <span class="author-span "> <a href="/author/sarah-yoo">Sarah Yoo</a></span>, <span class="author-span "> <a href="/author/kevin-yu">Kevin Yu</a></span>, <span class="author-span "> <a href="/author/qiming-yuan">Qiming Yuan</a></span>, <span class="author-span "> <a href="/author/wojciech-zaremba">Wojciech Zaremba</a></span>, <span class="author-span "> <a href="/author/rowan-zellers">Rowan Zellers</a></span>, <span class="author-span "> <a href="/author/chong-zhang">Chong Zhang</a></span>, <span class="author-span "> <a href="/author/marvin-zhang">Marvin Zhang</a></span>, <span class="author-span "> <a href="/author/shengjia-zhao">Shengjia Zhao</a></span>, <span class="author-span "> <a href="/author/tianhao-zheng">Tianhao Zheng</a></span>, <span class="author-span "> <a href="/author/juntang-zhuang">Juntang Zhuang</a></span>, <span class="author-span "> <a href="/author/william-zhuk">William Zhuk</a></span>, <span class="author-span "> <a href="/author/barret-zoph">Barret Zoph</a></span> </p> <p class="item-strip-abstract">We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs.</p> <div class="sota"> <p> <a href="/sota/question-answering-on-peerqa"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/question-answering-on-peerqa-small_74b1615e.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/question-answering-on-peerqa"> Question Answering on PeerQA </a> </p> </div> <p> <a href="/task/answerability-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>answerability prediction</span> </span> </a> <a href="/task/arithmetic-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Arithmetic Reasoning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/gpt-4-technical-report-1#tasks"> <span class="badge badge-primary"> <b>+17</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 15,525</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/gpt-4-technical-report-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/gpt-4-technical-report-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/asymmetric-self-play-for-automatic-goal-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2101.04882.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/asymmetric-self-play-for-automatic-goal-1">Asymmetric self-play for automatic goal discovery in robotic manipulation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/asymmetric-self-play-for-automatic-goal-1#code">no code implementations</a> • <span class="author-name-text item-date-pub">13 Jan 2021</span> • <span class="author-span "> <a href="/author/openai-openai">OpenAI OpenAI</a></span>, <span class="author-span "> <a href="/author/matthias-plappert">Matthias Plappert</a></span>, <span class="author-span "> <a href="/author/raul-sampedro">Raul Sampedro</a></span>, <span class="author-span "> <a href="/author/tao-xu">Tao Xu</a></span>, <span class="author-span "> <a href="/author/ilge-akkaya">Ilge Akkaya</a></span>, <span class="author-span "> <a href="/author/vineet-kosaraju">Vineet Kosaraju</a></span>, <span class="author-span "> <a href="/author/peter-welinder">Peter Welinder</a></span>, <span class="author-span "> <a href="/author/ruben-d-sa">Ruben D'Sa</a></span>, <span class="author-span "> <a href="/author/arthur-petron">Arthur Petron</a></span>, <span class="author-span "> <a href="/author/henrique-ponde-de-oliveira-pinto-1">Henrique Ponde de Oliveira Pinto</a></span>, <span class="author-span "> <a href="/author/alex-paino">Alex Paino</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/lilian-weng">Lilian Weng</a></span>, <span class="author-span "> <a href="/author/qiming-yuan">Qiming Yuan</a></span>, <span class="author-span "> <a href="/author/casey-chu">Casey Chu</a></span>, <span class="author-span "> <a href="/author/wojciech-zaremba">Wojciech Zaremba</a></span> </p> <p class="item-strip-abstract">We train a single, goal-conditioned policy that can solve many robotic manipulation tasks, including tasks with previously unseen goals and objects.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/asymmetric-self-play-for-automatic-goal-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/asymmetric-self-play-for-automatic-goal-1#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/behavior-priors-for-efficient-reinforcement"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2010.14274.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/behavior-priors-for-efficient-reinforcement">Behavior Priors for Efficient Reinforcement Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/behavior-priors-for-efficient-reinforcement#code">no code implementations</a> • <span class="author-name-text item-date-pub">27 Oct 2020</span> • <span class="author-span "> <a href="/author/dhruva-tirumala">Dhruva Tirumala</a></span>, <span class="author-span "> <a href="/author/alexandre-galashov">Alexandre Galashov</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/leonard-hasenclever">Leonard Hasenclever</a></span>, <span class="author-span "> <a href="/author/razvan-pascanu">Razvan Pascanu</a></span>, <span class="author-span "> <a href="/author/jonathan-schwarz">Jonathan Schwarz</a></span>, <span class="author-span "> <a href="/author/guillaume-desjardins">Guillaume Desjardins</a></span>, <span class="author-span "> <a href="/author/wojciech-marian-czarnecki">Wojciech Marian Czarnecki</a></span>, <span class="author-span "> <a href="/author/arun-ahuja">Arun Ahuja</a></span>, <span class="author-span "> <a href="/author/yee-whye-teh">Yee Whye Teh</a></span>, <span class="author-span "> <a href="/author/nicolas-heess">Nicolas Heess</a></span> </p> <p class="item-strip-abstract">In this work we consider how information and architectural constraints can be combined with ideas from the probabilistic modeling literature to learn behavior priors that capture the common movement and interaction patterns that are shared across a set of related tasks or contexts.</p> <div class="sota"> </div> <p> <a href="/task/continuous-control-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>continuous-control</span> </span> </a> <a href="/task/continuous-control"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Continuous Control</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/behavior-priors-for-efficient-reinforcement#tasks"> <span class="badge badge-primary"> <b>+5</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/behavior-priors-for-efficient-reinforcement" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/behavior-priors-for-efficient-reinforcement#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/real-time-object-tracking-via-meta-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1911.11170.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/real-time-object-tracking-via-meta-learning">Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/real-time-object-tracking-via-meta-learning#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 Nov 2019</span> • <span class="author-span "> <a href="/author/ilchae-jung">Ilchae Jung</a></span>, <span class="author-span "> <a href="/author/kihyun-you">Kihyun You</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/minsu-cho">Minsu Cho</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning.</p> <div class="sota"> </div> <p> <a href="/task/meta-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001088-6b0b3a7f_0bh9941.jpg"> <span>Meta-Learning</span> </span> </a> <a href="/task/object"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Object</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/real-time-object-tracking-via-meta-learning#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/real-time-object-tracking-via-meta-learning" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/real-time-object-tracking-via-meta-learning#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/exploiting-hierarchy-for-learning-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1903.07438.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/exploiting-hierarchy-for-learning-and">Exploiting Hierarchy for Learning and Transfer in KL-regularized RL</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/exploiting-hierarchy-for-learning-and#code">no code implementations</a> • <span class="author-name-text item-date-pub">18 Mar 2019</span> • <span class="author-span "> <a href="/author/dhruva-tirumala">Dhruva Tirumala</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/alexandre-galashov">Alexandre Galashov</a></span>, <span class="author-span "> <a href="/author/leonard-hasenclever">Leonard Hasenclever</a></span>, <span class="author-span "> <a href="/author/arun-ahuja">Arun Ahuja</a></span>, <span class="author-span "> <a href="/author/greg-wayne">Greg Wayne</a></span>, <span class="author-span "> <a href="/author/razvan-pascanu">Razvan Pascanu</a></span>, <span class="author-span "> <a href="/author/yee-whye-teh">Yee Whye Teh</a></span>, <span class="author-span "> <a href="/author/nicolas-heess">Nicolas Heess</a></span> </p> <p class="item-strip-abstract">As reinforcement learning agents are tasked with solving more challenging and diverse tasks, the ability to incorporate prior knowledge into the learning system and to exploit reusable structure in solution space is likely to become increasingly important.</p> <div class="sota"> </div> <p> <a href="/task/continuous-control-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>continuous-control</span> </span> </a> <a href="/task/continuous-control"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Continuous Control</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/exploiting-hierarchy-for-learning-and#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/exploiting-hierarchy-for-learning-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/exploiting-hierarchy-for-learning-and#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/transfer-learning-via-unsupervised-task"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0000312604-5ab3454b.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/transfer-learning-via-unsupervised-task">Transfer Learning via Unsupervised Task Discovery for Visual Question Answering</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/transfer-learning-via-unsupervised-task#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2019-6"> CVPR 2019 </a> </span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/tae-hoon-kim">Tae-hoon Kim</a></span>, <span class="author-span "> <a href="/author/jonghwan-mun">Jonghwan Mun</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">Specifically, we employ linguistic knowledge sources such as structured lexical database (e. g. WordNet) and visual descriptions for unsupervised task discovery, and transfer a learned task conditional visual classifier as an answering unit in a visual question answering model.</p> <div class="sota"> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a href="/task/transfer-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000118-7e49033f_1eFA0SR.jpg"> <span>Transfer Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/transfer-learning-via-unsupervised-task#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 31</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/transfer-learning-via-unsupervised-task" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/transfer-learning-via-unsupervised-task#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/neural-program-synthesis-from-diverse"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0000304360-fc73d7d9.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/neural-program-synthesis-from-diverse">Neural Program Synthesis from Diverse Demonstration Videos</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/neural-program-synthesis-from-diverse#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/icml-2018-7"> ICML 2018 </a> </span> • <span class="author-span "> <a href="/author/shao-hua-sun">Shao-Hua Sun</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/sriram-somasundaram">Sriram Somasundaram</a></span>, <span class="author-span "> <a href="/author/joseph-lim">Joseph Lim</a></span> </p> <p class="item-strip-abstract">To empower machines with this ability, we propose a neural program synthesizer that is able to explicitly synthesize underlying programs from behaviorally diverse and visually complicated demonstration videos.</p> <div class="sota"> </div> <p> <a href="/task/decision-making"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decision Making</span> </span> </a> <a href="/task/program-synthesis"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Program Synthesis</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 102</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/neural-program-synthesis-from-diverse" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/neural-program-synthesis-from-diverse#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/regularizing-deep-neural-networks-by-noise"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1710.05179.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/regularizing-deep-neural-networks-by-noise">Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/regularizing-deep-neural-networks-by-noise#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/neurips-2017-12"> NeurIPS 2017 </a> </span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/tackgeun-you">Tackgeun You</a></span>, <span class="author-span "> <a href="/author/jonghwan-mun">Jonghwan Mun</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">Overfitting is one of the most critical challenges in deep neural networks, and there are various types of regularization methods to improve generalization performance.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/regularizing-deep-neural-networks-by-noise" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/regularizing-deep-neural-networks-by-noise#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/large-scale-image-retrieval-with-attentive"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/0c08210f-7f05-4018-8a1c-8f1501f22a77.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/large-scale-image-retrieval-with-attentive">Large-Scale Image Retrieval with Attentive Deep Local Features</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/large-scale-image-retrieval-with-attentive#code">12 code implementations</a> • <span class="item-conference-link"> <a href="/conference/iccv-2017-10"> ICCV 2017 </a> </span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/andre-araujo">Andre Araujo</a></span>, <span class="author-span "> <a href="/author/jack-sim">Jack Sim</a></span>, <span class="author-span "> <a href="/author/tobias-weyand">Tobias Weyand</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep Local Feature).</p> <div class="sota"> <p> <a href="/sota/image-retrieval-on-oxf105k"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/image-retrieval-on-oxf105k-small_143c5050.png"/> </a> Ranked #2 on <a href="/sota/image-retrieval-on-oxf105k"> Image Retrieval on Oxf105k </a> </p> </div> <p> <a href="/task/image-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/834263fd-0f2e-47a9-bda1-0fd3f44c71df.jpg"> <span>Image Retrieval</span> </span> </a> <a href="/task/retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/8576b666-5d7a-4b88-a1e2-5dcc3ea02f16.jpg"> <span>Retrieval</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 77,394</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/large-scale-image-retrieval-with-attentive" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/large-scale-image-retrieval-with-attentive#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/training-recurrent-answering-units-with-joint"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1606.03647.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/training-recurrent-answering-units-with-joint">Training Recurrent Answering Units with Joint Loss Minimization for VQA</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/training-recurrent-answering-units-with-joint#code">no code implementations</a> • <span class="author-name-text item-date-pub">12 Jun 2016</span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We propose a novel algorithm for visual question answering based on a recurrent deep neural network, where every module in the network corresponds to a complete answering unit with attention mechanism by itself.</p> <div class="sota"> <p> <a href="/sota/visual-question-answering-on-vqa-v1-test-std"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/visual-question-answering-on-vqa-v1-test-std-small_ffdb6c07.png"/> </a> Ranked #2 on <a href="/sota/visual-question-answering-on-vqa-v1-test-std"> Visual Question Answering (VQA) on VQA v1 test-std </a> </p> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a href="/task/visual-question-answering-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Visual Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/training-recurrent-answering-units-with-joint" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/training-recurrent-answering-units-with-joint#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/image-question-answering-using-convolutional"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1511.05756.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/image-question-answering-using-convolutional">Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/image-question-answering-using-convolutional#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2016-6"> CVPR 2016 </a> </span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/paul-hongsuck-seo">Paul Hongsuck Seo</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We tackle image question answering (ImageQA) problem by learning a convolutional neural network (CNN) with a dynamic parameter layer whose weights are determined adaptively based on questions.</p> <div class="sota"> <p> <a href="/sota/image-retrieval-with-multi-modal-query-on"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/image-retrieval-with-multi-modal-query-on-small_0cd052e2.png"/> </a> Ranked #7 on <a href="/sota/image-retrieval-with-multi-modal-query-on"> Image Retrieval with Multi-Modal Query on Fashion200k </a> </p> </div> <p> <a href="/task/multi-modal"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000947-f3231a8b.jpg"> <span>Image Retrieval with Multi-Modal Query</span> </span> </a> <a href="/task/parameter-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Parameter Prediction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/image-question-answering-using-convolutional#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 94</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/image-question-answering-using-convolutional" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/image-question-answering-using-convolutional#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/decoupled-deep-neural-network-for-semi"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1506.04924.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/decoupled-deep-neural-network-for-semi">Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/decoupled-deep-neural-network-for-semi#code">3 code implementations</a> • <span class="item-conference-link"> <a href="/conference/neurips-2015-12"> NeurIPS 2015 </a> </span> • <span class="author-span "> <a href="/author/seunghoon-hong">Seunghoon Hong</a></span>, <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations.</p> <div class="sota"> </div> <p> <a href="/task/classification-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/d0eafcb3-1a12-430b-8bb5-6f6bbff1a4b3.jpg"> <span>Classification</span> </span> </a> <a href="/task/classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001592-811f0118_3TU7fCb.jpg"> <span>General Classification</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/decoupled-deep-neural-network-for-semi#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 102</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/decoupled-deep-neural-network-for-semi" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/decoupled-deep-neural-network-for-semi#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learning-deconvolution-network-for-semantic"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1505.04366.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learning-deconvolution-network-for-semantic">Learning Deconvolution Network for Semantic Segmentation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-deconvolution-network-for-semantic#code">5 code implementations</a> • <span class="item-conference-link"> <a href="/conference/iccv-2015-12"> ICCV 2015 </a> </span> • <span class="author-span author-matched"> <a href="/author/hyeonwoo-noh">Hyeonwoo Noh</a></span>, <span class="author-span "> <a href="/author/seunghoon-hong">Seunghoon Hong</a></span>, <span class="author-span "> <a href="/author/bohyung-han">Bohyung Han</a></span> </p> <p class="item-strip-abstract">We propose a novel semantic segmentation algorithm by learning a deconvolution network.</p> <div class="sota"> <p> <a href="/sota/curved-text-detection-on-scut-ctw1500"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/curved-text-detection-on-scut-ctw1500-small_c0dc1fec.png"/> </a> Ranked #3 on <a href="/sota/curved-text-detection-on-scut-ctw1500"> Curved Text Detection on SCUT-CTW1500 </a> </p> </div> <p> <a href="/task/segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Segmentation</span> </span> </a> <a href="/task/semantic-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/1901fccc-e4d7-4117-b39f-f08f1f84d652.jpg"> <span>Semantic Segmentation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 325</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-deconvolution-network-for-semantic" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 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