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Computer Science Oct 2023

<!DOCTYPE html> <html lang="en"> <head> <title>Computer Science Oct 2023</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link 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<div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs/2023-10?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2023-10?skip=0&amp;show=100 rel="nofollow"> more</a> | <a href=/list/cs/2023-10?skip=0&amp;show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2310.00001" title="Abstract" id="2310.00001"> arXiv:2310.00001 </a> [<a href="/pdf/2310.00001" title="Download PDF" id="pdf-2310.00001" aria-labelledby="pdf-2310.00001">pdf</a>, <a href="/format/2310.00001" title="Other formats" id="oth-2310.00001" aria-labelledby="oth-2310.00001">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AsaPy: A Python Library for Aerospace Simulation Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dantas,+J+P+A">Joao P. A. Dantas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Silva,+S+R">Samara R. Silva</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Gomes,+V+C+F">Vitor C. F. Gomes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Costa,+A+N">Andre N. Costa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Samersla,+A+R">Adrisson R. Samersla</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Geraldo,+D">Diego Geraldo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Maximo,+M+R+O+A">Marcos R. O. A. Maximo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yoneyama,+T">Takashi Yoneyama</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Mathematical Software (cs.MS)</span> </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/2310.00003" title="Abstract" id="2310.00003"> arXiv:2310.00003 </a> [<a href="/pdf/2310.00003" title="Download PDF" id="pdf-2310.00003" aria-labelledby="pdf-2310.00003">pdf</a>, <a href="/format/2310.00003" title="Other formats" id="oth-2310.00003" aria-labelledby="oth-2310.00003">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Derivation of a 2D PCCU-AENO method for nonconservative problems. Theory, Method and theoretical arguments </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Roland,+N+N+A">Ngatcha Ndengna Arno Roland</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span>; Analysis of PDEs (math.AP); Fluid Dynamics (physics.flu-dyn) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2310.00005" title="Abstract" id="2310.00005"> arXiv:2310.00005 </a> [<a href="/pdf/2310.00005" title="Download PDF" id="pdf-2310.00005" aria-labelledby="pdf-2310.00005">pdf</a>, <a href="/format/2310.00005" title="Other formats" id="oth-2310.00005" aria-labelledby="oth-2310.00005">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Automated machine vision control system for technological nodes assembly process </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shtabel,+N">Nikolay Shtabel</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Saramud,+M">Mikhail Saramud</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Tkachev,+S">Stepan Tkachev</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pikalov,+I">Iakov Pikalov</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 4 figures, MIST Aerospace - V - 2023 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2310.00008" title="Abstract" id="2310.00008"> arXiv:2310.00008 </a> [<a href="/pdf/2310.00008" title="Download PDF" id="pdf-2310.00008" aria-labelledby="pdf-2310.00008">pdf</a>, <a href="/format/2310.00008" title="Other formats" id="oth-2310.00008" aria-labelledby="oth-2310.00008">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Dynamic Multimodal Locomotion: A Quick Overview of Hardware and Control </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pitroda,+S">Shreyansh Pitroda</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2310.00009" title="Abstract" id="2310.00009"> arXiv:2310.00009 </a> [<a href="/pdf/2310.00009" title="Download PDF" id="pdf-2310.00009" aria-labelledby="pdf-2310.00009">pdf</a>, <a href="/format/2310.00009" title="Other formats" id="oth-2310.00009" aria-labelledby="oth-2310.00009">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Dataset Generation for Drone Optimal Placement Using Machine Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hao,+J">Jialin Hao</a> (TSP)</div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2310.00010" title="Abstract" id="2310.00010"> arXiv:2310.00010 </a> [<a href="/pdf/2310.00010" title="Download PDF" id="pdf-2310.00010" aria-labelledby="pdf-2310.00010">pdf</a>, <a href="/format/2310.00010" title="Other formats" id="oth-2310.00010" aria-labelledby="oth-2310.00010">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Tahir,+S">Sharjeel Tahir</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shah,+S+A">Syed Afaq Shah</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Abu-Khalaf,+J">Jumana Abu-Khalaf</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2310.00011" title="Abstract" id="2310.00011"> arXiv:2310.00011 </a> [<a href="/pdf/2310.00011" title="Download PDF" id="pdf-2310.00011" aria-labelledby="pdf-2310.00011">pdf</a>, <a href="/format/2310.00011" title="Other formats" id="oth-2310.00011" aria-labelledby="oth-2310.00011">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lu,+Z">Zhengyang Lu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+Y">Ying Chen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Image and Video Processing (eess.IV) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2310.00012" title="Abstract" id="2310.00012"> arXiv:2310.00012 </a> [<a href="/pdf/2310.00012" title="Download PDF" id="pdf-2310.00012" aria-labelledby="pdf-2310.00012">pdf</a>, <a href="/format/2310.00012" title="Other formats" id="oth-2310.00012" aria-labelledby="oth-2310.00012">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Operator-free Equilibrium on the Sphere </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Dai,+X">Xiongming Dai</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Baumgartner,+G">Gerald Baumgartner</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages,3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2310.00013" title="Abstract" id="2310.00013"> arXiv:2310.00013 </a> [<a href="/pdf/2310.00013" title="Download PDF" id="pdf-2310.00013" aria-labelledby="pdf-2310.00013">pdf</a>, <a href="https://arxiv.org/html/2310.00013v4" title="View HTML" id="html-2310.00013" aria-labelledby="html-2310.00013" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00013" title="Other formats" id="oth-2310.00013" aria-labelledby="oth-2310.00013">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hu,+S">Senkang Hu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Fang,+Z">Zhengru Fang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=An,+H">Haonan An</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+G">Guowen Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhou,+Y">Yuan Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+X">Xianhao Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Fang,+Y">Yuguang Fang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by GLOBECOM&#39;24 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2310.00014" title="Abstract" id="2310.00014"> arXiv:2310.00014 </a> [<a href="/pdf/2310.00014" title="Download PDF" id="pdf-2310.00014" aria-labelledby="pdf-2310.00014">pdf</a>, <a href="https://arxiv.org/html/2310.00014v2" title="View HTML" id="html-2310.00014" aria-labelledby="html-2310.00014" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00014" title="Other formats" id="oth-2310.00014" aria-labelledby="oth-2310.00014">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fewer-token Neural Speech Codec with Time-invariant Codes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ren,+Y">Yong Ren</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+T">Tao Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yi,+J">Jiangyan Yi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+L">Le Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Tao,+J">Jianhua Tao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+C">Chuyuan Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhou,+J">Junzuo Zhou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by ICASSP 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Sound (cs.SD)</span>; Audio and Speech Processing (eess.AS) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2310.00015" title="Abstract" id="2310.00015"> arXiv:2310.00015 </a> [<a href="/pdf/2310.00015" title="Download PDF" id="pdf-2310.00015" aria-labelledby="pdf-2310.00015">pdf</a>, <a href="/format/2310.00015" title="Other formats" id="oth-2310.00015" aria-labelledby="oth-2310.00015">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semantic Communication with Probability Graph: A Joint Communication and Computation Design </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhao,+Z">Zhouxiang Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yang,+Z">Zhaohui Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pham,+Q">Quoc-Viet Pham</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yang,+Q">Qianqian Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+Z">Zhaoyang Zhang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span>; Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2310.00016" title="Abstract" id="2310.00016"> arXiv:2310.00016 </a> [<a href="/pdf/2310.00016" title="Download PDF" id="pdf-2310.00016" aria-labelledby="pdf-2310.00016">pdf</a>, <a href="/format/2310.00016" title="Other formats" id="oth-2310.00016" aria-labelledby="oth-2310.00016">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PID Optimization Using Lagrangian Mechanics </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&amp;query=Kou,+E">Ethan Kou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&amp;query=Moghadam,+M">Majid Moghadam</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Journal of Student Research, Vol. 13 No. 1 (2024) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span>; Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2310.00022" title="Abstract" id="2310.00022"> arXiv:2310.00022 </a> [<a href="/pdf/2310.00022" title="Download PDF" id="pdf-2310.00022" aria-labelledby="pdf-2310.00022">pdf</a>, <a href="https://arxiv.org/html/2310.00022v4" title="View HTML" id="html-2310.00022" aria-labelledby="html-2310.00022" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00022" title="Other formats" id="oth-2310.00022" aria-labelledby="oth-2310.00022">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+M">Mingming Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+Q">Qingjie Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+Y">Yunhong Wang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2310.00023" title="Abstract" id="2310.00023"> arXiv:2310.00023 </a> [<a href="/pdf/2310.00023" title="Download PDF" id="pdf-2310.00023" aria-labelledby="pdf-2310.00023">pdf</a>, <a href="/format/2310.00023" title="Other formats" id="oth-2310.00023" aria-labelledby="oth-2310.00023">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shinde,+G">Gaurav Shinde</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mohapatra,+R">Rohan Mohapatra</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Krishan,+P">Pooja Krishan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sengupta,+S">Saptarshi Sengupta</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages, 6 figures, 3 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2310.00029" title="Abstract" id="2310.00029"> arXiv:2310.00029 </a> [<a href="/pdf/2310.00029" title="Download PDF" id="pdf-2310.00029" aria-labelledby="pdf-2310.00029">pdf</a>, <a href="/format/2310.00029" title="Other formats" id="oth-2310.00029" aria-labelledby="oth-2310.00029">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle Evaluation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+Z">Zhen Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Gao,+H">Hang Gao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ma,+H">Hao Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Cai,+S">Shuo Cai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hu,+Y">Yunfeng Hu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Qu,+T">Ting Qu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+H">Hong Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Gong,+X">Xun Gong</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> We find there is expression error in III.A. A correction edition will be offered </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2310.00031" title="Abstract" id="2310.00031"> arXiv:2310.00031 </a> [<a href="/pdf/2310.00031" title="Download PDF" id="pdf-2310.00031" aria-labelledby="pdf-2310.00031">pdf</a>, <a href="https://arxiv.org/html/2310.00031v3" title="View HTML" id="html-2310.00031" aria-labelledby="html-2310.00031" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00031" title="Other formats" id="oth-2310.00031" aria-labelledby="oth-2310.00031">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Text-image Alignment for Diffusion-based Perception </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kondapaneni,+N">Neehar Kondapaneni</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Marks,+M">Markus Marks</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Knott,+M">Manuel Knott</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Guimaraes,+R">Rogerio Guimaraes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Perona,+P">Pietro Perona</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Project page: <a href="https://www.vision.caltech.edu/tadp/" rel="external noopener nofollow" class="link-external link-https">this https URL</a>, Code page: <a href="http://github.com/damaggu/TADP" rel="external noopener nofollow" class="link-external link-http">this http URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2310.00032" title="Abstract" id="2310.00032"> arXiv:2310.00032 </a> [<a href="/pdf/2310.00032" title="Download PDF" id="pdf-2310.00032" aria-labelledby="pdf-2310.00032">pdf</a>, <a href="https://arxiv.org/html/2310.00032v3" title="View HTML" id="html-2310.00032" aria-labelledby="html-2310.00032" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00032" title="Other formats" id="oth-2310.00032" aria-labelledby="oth-2310.00032">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-physical Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+Q">Qinghua Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yue,+T">Tao Yue</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ali,+S">Shaukat Ali</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Arratibel,+M">Maite Arratibel</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Software Engineering (cs.SE)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2310.00033" title="Abstract" id="2310.00033"> arXiv:2310.00033 </a> [<a href="/pdf/2310.00033" title="Download PDF" id="pdf-2310.00033" aria-labelledby="pdf-2310.00033">pdf</a>, <a href="/format/2310.00033" title="Other formats" id="oth-2310.00033" aria-labelledby="oth-2310.00033">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> OriWheelBot: An origami-wheeled robot </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+J">Jie Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pang,+Z">Zufeng Pang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Li,+Z">Zhiyong Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wen,+G">Guilin Wen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Su,+Z">Zhoucheng Su</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=He,+J">Junfeng He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+K">Kaiyue Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Jiang,+D">Dezheng Jiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Li,+Z">Zenan Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+S">Shouyan Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Tian,+Y">Yang Tian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xie,+Y+M">Yi Min Xie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+Z">Zhenpei Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+Z">Zhuangjian Liu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 23 papes, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Applied Physics (physics.app-ph) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2310.00034" title="Abstract" id="2310.00034"> arXiv:2310.00034 </a> [<a href="/pdf/2310.00034" title="Download PDF" id="pdf-2310.00034" aria-labelledby="pdf-2310.00034">pdf</a>, <a href="/format/2310.00034" title="Other formats" id="oth-2310.00034" aria-labelledby="oth-2310.00034">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PB-LLM: Partially Binarized Large Language Models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shang,+Y">Yuzhang Shang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yuan,+Z">Zhihang Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wu,+Q">Qiang Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dong,+Z">Zhen Dong</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Frist work using network binarization for large language model compression </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Computation and Language (cs.CL) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2310.00035" title="Abstract" id="2310.00035"> arXiv:2310.00035 </a> [<a href="/pdf/2310.00035" title="Download PDF" id="pdf-2310.00035" aria-labelledby="pdf-2310.00035">pdf</a>, <a href="/format/2310.00035" title="Other formats" id="oth-2310.00035" aria-labelledby="oth-2310.00035">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> LoRA ensembles for large language model fine-tuning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+X">Xi Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Aitchison,+L">Laurence Aitchison</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rudolph,+M">Maja Rudolph</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Update the title in the PDF file </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2310.00036" title="Abstract" id="2310.00036"> arXiv:2310.00036 </a> [<a href="/pdf/2310.00036" title="Download PDF" id="pdf-2310.00036" aria-labelledby="pdf-2310.00036">pdf</a>, <a href="/format/2310.00036" title="Other formats" id="oth-2310.00036" aria-labelledby="oth-2310.00036">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Huang,+S">Shengyi Huang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Weng,+J">Jiayi Weng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Charakorn,+R">Rujikorn Charakorn</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lin,+M">Min Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+Z">Zhongwen Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Onta%C3%B1%C3%B3n,+S">Santiago Onta帽贸n</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2310.00041" title="Abstract" id="2310.00041"> arXiv:2310.00041 </a> [<a href="/pdf/2310.00041" title="Download PDF" id="pdf-2310.00041" aria-labelledby="pdf-2310.00041">pdf</a>, <a href="https://arxiv.org/html/2310.00041v2" title="View HTML" id="html-2310.00041" aria-labelledby="html-2310.00041" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00041" title="Other formats" id="oth-2310.00041" aria-labelledby="oth-2310.00041">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Machine Learning Clifford invariants of ADE Coxeter elements </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+S">Siqi Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dechant,+P">Pierre-Philippe Dechant</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=He,+Y">Yang-Hui He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Heyes,+E">Elli Heyes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hirst,+E">Edward Hirst</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Riabchenko,+D">Dmitrii Riabchenko</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> v1: 34 pages, 16 Figures, 12 Tables. v2: Typos corrected and some comments added. Matches the author-accepted version for publication in Advances in Applied Clifford Algebras </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Adv. Appl. Clifford Algebras 34, 20 (2024) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; High Energy Physics - Theory (hep-th); Mathematical Physics (math-ph); Group Theory (math.GR); Representation Theory (math.RT) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2310.00057" title="Abstract" id="2310.00057"> arXiv:2310.00057 </a> [<a href="/pdf/2310.00057" title="Download PDF" id="pdf-2310.00057" aria-labelledby="pdf-2310.00057">pdf</a>, <a href="/format/2310.00057" title="Other formats" id="oth-2310.00057" aria-labelledby="oth-2310.00057">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+C">Chen Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Cao,+B+T">Ba Trung Cao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yuan,+Y">Yong Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Meschke,+G">G眉nther Meschke</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computational Engineering, Finance, and Science (cs.CE)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2310.00068" title="Abstract" id="2310.00068"> arXiv:2310.00068 </a> [<a href="/pdf/2310.00068" title="Download PDF" id="pdf-2310.00068" aria-labelledby="pdf-2310.00068">pdf</a>, <a href="/format/2310.00068" title="Other formats" id="oth-2310.00068" aria-labelledby="oth-2310.00068">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Emotional Listener Portrait: Neural Listener Head Generation with Emotion </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Song,+L">Luchuan Song</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yin,+G">Guojun Yin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Jin,+Z">Zhenchao Jin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dong,+X">Xiaoyi Dong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+C">Chenliang Xu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by ICCV2023 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Graphics (cs.GR)</span>; Artificial Intelligence (cs.AI); Multimedia (cs.MM) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2310.00070" title="Abstract" id="2310.00070"> arXiv:2310.00070 </a> [<a href="/pdf/2310.00070" title="Download PDF" id="pdf-2310.00070" aria-labelledby="pdf-2310.00070">pdf</a>, <a href="/format/2310.00070" title="Other formats" id="oth-2310.00070" aria-labelledby="oth-2310.00070">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Alani,+M+M">Mohammed M. Alani</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mashatan,+A">Atefeh Mashatan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Miri,+A">Ali Miri</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Cryptography and Security (cs.CR)</span> </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2310.00073" title="Abstract" id="2310.00073"> arXiv:2310.00073 </a> [<a href="/pdf/2310.00073" title="Download PDF" id="pdf-2310.00073" aria-labelledby="pdf-2310.00073">pdf</a>, <a href="/format/2310.00073" title="Other formats" id="oth-2310.00073" aria-labelledby="oth-2310.00073">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multi-Objective Sparse Sensing with Ergodic Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rao,+A">Ananya Rao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Choset,+H">Howie Choset</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span> </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2310.00074" title="Abstract" id="2310.00074"> arXiv:2310.00074 </a> [<a href="/pdf/2310.00074" title="Download PDF" id="pdf-2310.00074" aria-labelledby="pdf-2310.00074">pdf</a>, <a href="https://arxiv.org/html/2310.00074v3" title="View HTML" id="html-2310.00074" aria-labelledby="html-2310.00074" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00074" title="Other formats" id="oth-2310.00074" aria-labelledby="oth-2310.00074">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=He,+H">Hangfeng He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+H">Hongming Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Roth,+D">Dan Roth</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2310.00076" title="Abstract" id="2310.00076"> arXiv:2310.00076 </a> [<a href="/pdf/2310.00076" title="Download PDF" id="pdf-2310.00076" aria-labelledby="pdf-2310.00076">pdf</a>, <a href="/format/2310.00076" title="Other formats" id="oth-2310.00076" aria-labelledby="oth-2310.00076">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Saberi,+M">Mehrdad Saberi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sadasivan,+V+S">Vinu Sankar Sadasivan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rezaei,+K">Keivan Rezaei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kumar,+A">Aounon Kumar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chegini,+A">Atoosa Chegini</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+W">Wenxiao Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Feizi,+S">Soheil Feizi</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2310.00077" title="Abstract" id="2310.00077"> arXiv:2310.00077 </a> [<a href="/pdf/2310.00077" title="Download PDF" id="pdf-2310.00077" aria-labelledby="pdf-2310.00077">pdf</a>, <a href="https://arxiv.org/html/2310.00077v3" title="View HTML" id="html-2310.00077" aria-labelledby="html-2310.00077" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00077" title="Other formats" id="oth-2310.00077" aria-labelledby="oth-2310.00077">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Raponi,+E">Elena Raponi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Carraz,+N+R">Nathanael Rakotonirina Carraz</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rapin,+J">J茅r茅my Rapin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Doerr,+C">Carola Doerr</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Teytaud,+O">Olivier Teytaud</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> To appear in IEEE Transactions on Evolutionary Computation </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2310.00078" title="Abstract" id="2310.00078"> arXiv:2310.00078 </a> [<a href="/pdf/2310.00078" title="Download PDF" id="pdf-2310.00078" aria-labelledby="pdf-2310.00078">pdf</a>, <a href="/format/2310.00078" title="Other formats" id="oth-2310.00078" aria-labelledby="oth-2310.00078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Characterizing Semantic Ambiguity of the Materials Science Ontologies </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=McClellan,+S">Scott McClellan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=An,+Y">Yuan An</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhao,+X">Xintong Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lin,+X">Xia Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Greenberg,+J">Jane Greenberg</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 12 pages, International Society for Knowledge Organization (ISKO) 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Digital Libraries (cs.DL)</span> </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2310.00080" title="Abstract" id="2310.00080"> arXiv:2310.00080 </a> [<a href="/pdf/2310.00080" title="Download PDF" id="pdf-2310.00080" aria-labelledby="pdf-2310.00080">pdf</a>, <a href="/format/2310.00080" title="Other formats" id="oth-2310.00080" aria-labelledby="oth-2310.00080">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lee,+U+H">Ung Hee Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shepherd,+T">Tor Shepherd</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kim,+S">Sangbae Kim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=De,+A">Avik De</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Su,+H">Hao Su</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Gregg,+R">Robert Gregg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mooney,+L">Luke Mooney</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rouse,+E">Elliott Rouse</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span> </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2310.00085" title="Abstract" id="2310.00085"> arXiv:2310.00085 </a> [<a href="/pdf/2310.00085" title="Download PDF" id="pdf-2310.00085" aria-labelledby="pdf-2310.00085">pdf</a>, <a href="https://arxiv.org/html/2310.00085v4" title="View HTML" id="html-2310.00085" aria-labelledby="html-2310.00085" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00085" title="Other formats" id="oth-2310.00085" aria-labelledby="oth-2310.00085">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PEACE: Prompt Engineering Automation for CLIPSeg Enhancement in Aerial Robotics </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Bong,+H+M">Haechan Mark Bong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+R">Rongge Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Robillard,+A">Antoine Robillard</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=de+Azambuja,+R">Ricardo de Azambuja</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Beltrame,+G">Giovanni Beltrame</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> arXiv admin note: text overlap with <a href="https://arxiv.org/abs/2308.11471" data-arxiv-id="2308.11471" class="link-https">arXiv:2308.11471</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span> </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2310.00090" title="Abstract" id="2310.00090"> arXiv:2310.00090 </a> [<a href="/pdf/2310.00090" title="Download PDF" id="pdf-2310.00090" aria-labelledby="pdf-2310.00090">pdf</a>, <a href="https://arxiv.org/html/2310.00090v4" title="View HTML" id="html-2310.00090" aria-labelledby="html-2310.00090" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00090" title="Other formats" id="oth-2310.00090" aria-labelledby="oth-2310.00090">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the Counting of Involutory MDS Matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Samanta,+S">Susanta Samanta</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Cryptography and Security (cs.CR)</span>; Information Theory (cs.IT) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2310.00091" title="Abstract" id="2310.00091"> arXiv:2310.00091 </a> [<a href="/pdf/2310.00091" title="Download PDF" id="pdf-2310.00091" aria-labelledby="pdf-2310.00091">pdf</a>, <a href="/format/2310.00091" title="Other formats" id="oth-2310.00091" aria-labelledby="oth-2310.00091">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards Automated Accessibility Report Generation for Mobile Apps </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Swearngin,+A">Amanda Swearngin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wu,+J">Jason Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+X">Xiaoyi Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Gomez,+E">Esteban Gomez</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Coughenour,+J">Jen Coughenour</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Stukenborg,+R">Rachel Stukenborg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Garg,+B">Bhavya Garg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hughes,+G">Greg Hughes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hilliard,+A">Adriana Hilliard</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Bigham,+J+P">Jeffrey P. Bigham</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nichols,+J">Jeffrey Nichols</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Human-Computer Interaction (cs.HC)</span>; Software Engineering (cs.SE) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2310.00092" title="Abstract" id="2310.00092"> arXiv:2310.00092 </a> [<a href="/pdf/2310.00092" title="Download PDF" id="pdf-2310.00092" aria-labelledby="pdf-2310.00092">pdf</a>, <a href="/format/2310.00092" title="Other formats" id="oth-2310.00092" aria-labelledby="oth-2310.00092">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Su,+Y">Yang Su</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span>; Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2310.00093" title="Abstract" id="2310.00093"> arXiv:2310.00093 </a> [<a href="/pdf/2310.00093" title="Download PDF" id="pdf-2310.00093" aria-labelledby="pdf-2310.00093">pdf</a>, <a href="https://arxiv.org/html/2310.00093v3" title="View HTML" id="html-2310.00093" aria-labelledby="html-2310.00093" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00093" title="Other formats" id="oth-2310.00093" aria-labelledby="oth-2310.00093">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> DataDAM: Efficient Dataset Distillation with Attention Matching </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sajedi,+A">Ahmad Sajedi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Khaki,+S">Samir Khaki</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Amjadian,+E">Ehsan Amjadian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+L+Z">Lucy Z. Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lawryshyn,+Y+A">Yuri A. Lawryshyn</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Plataniotis,+K+N">Konstantinos N. Plataniotis</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted in International Conference in Computer Vision (ICCV) 2023 </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), October 2023, pages 17097-17107 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2310.00096" title="Abstract" id="2310.00096"> arXiv:2310.00096 </a> [<a href="/pdf/2310.00096" title="Download PDF" id="pdf-2310.00096" aria-labelledby="pdf-2310.00096">pdf</a>, <a href="https://arxiv.org/html/2310.00096v2" title="View HTML" id="html-2310.00096" aria-labelledby="html-2310.00096" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00096" title="Other formats" id="oth-2310.00096" aria-labelledby="oth-2310.00096">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hondru,+V">Vlad Hondru</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ionescu,+R+T">Radu Tudor Ionescu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted in Artificial Intelligence Review </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2310.00098" title="Abstract" id="2310.00098"> arXiv:2310.00098 </a> [<a href="/pdf/2310.00098" title="Download PDF" id="pdf-2310.00098" aria-labelledby="pdf-2310.00098">pdf</a>, <a href="/format/2310.00098" title="Other formats" id="oth-2310.00098" aria-labelledby="oth-2310.00098">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Federated Learning with Differential Privacy for End-to-End Speech Recognition </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pelikan,+M">Martin Pelikan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Azam,+S+S">Sheikh Shams Azam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Feldman,+V">Vitaly Feldman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Silovsky,+J+%22">Jan &#34;Honza&#34; Silovsky</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Talwar,+K">Kunal Talwar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Likhomanenko,+T">Tatiana Likhomanenko</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Under review </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Cryptography and Security (cs.CR); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2310.00099" title="Abstract" id="2310.00099"> arXiv:2310.00099 </a> [<a href="/pdf/2310.00099" title="Download PDF" id="pdf-2310.00099" aria-labelledby="pdf-2310.00099">pdf</a>, <a href="/format/2310.00099" title="Other formats" id="oth-2310.00099" aria-labelledby="oth-2310.00099">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yu,+Z">Zhuoran Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+M">Manchen Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chen,+Y">Yanbei Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Favaro,+P">Paolo Favaro</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Modolo,+D">Davide Modolo</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2310.00100" title="Abstract" id="2310.00100"> arXiv:2310.00100 </a> [<a href="/pdf/2310.00100" title="Download PDF" id="pdf-2310.00100" aria-labelledby="pdf-2310.00100">pdf</a>, <a href="https://arxiv.org/html/2310.00100v4" title="View HTML" id="html-2310.00100" aria-labelledby="html-2310.00100" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00100" title="Other formats" id="oth-2310.00100" aria-labelledby="oth-2310.00100">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need! </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lindo,+M">Mariana Lindo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Santos,+A+S">Ana Sofia Santos</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ferreira,+A">Andr茅 Ferreira</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Li,+J">Jianning Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Luijten,+G">Gijs Luijten</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Correia,+G">Gustavo Correia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kim,+M">Moon Kim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Schaarschmidt,+B+M">Benedikt Michael Schaarschmidt</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Deuschl,+C">Cornelius Deuschl</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Haubold,+J">Johannes Haubold</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kleesiek,+J">Jens Kleesiek</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Egger,+J">Jan Egger</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Alves,+V">Victor Alves</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 1 figure, 3 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2310.00105" title="Abstract" id="2310.00105"> arXiv:2310.00105 </a> [<a href="/pdf/2310.00105" title="Download PDF" id="pdf-2310.00105" aria-labelledby="pdf-2310.00105">pdf</a>, <a href="https://arxiv.org/html/2310.00105v3" title="View HTML" id="html-2310.00105" aria-labelledby="html-2310.00105" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00105" title="Other formats" id="oth-2310.00105" aria-labelledby="oth-2310.00105">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Latent Space Symmetry Discovery </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yang,+J">Jianke Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dehmamy,+N">Nima Dehmamy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Walters,+R">Robin Walters</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yu,+R">Rose Yu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2310.00106" title="Abstract" id="2310.00106"> arXiv:2310.00106 </a> [<a href="/pdf/2310.00106" title="Download PDF" id="pdf-2310.00106" aria-labelledby="pdf-2310.00106">pdf</a>, <a href="https://arxiv.org/html/2310.00106v2" title="View HTML" id="html-2310.00106" aria-labelledby="html-2310.00106" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00106" title="Other formats" id="oth-2310.00106" aria-labelledby="oth-2310.00106">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Islam,+T">Tasin Islam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Miron,+A">Alina Miron</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+X">XiaoHui Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Li,+Y">Yongmin Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2310.00108" title="Abstract" id="2310.00108"> arXiv:2310.00108 </a> [<a href="/pdf/2310.00108" title="Download PDF" id="pdf-2310.00108" aria-labelledby="pdf-2310.00108">pdf</a>, <a href="/format/2310.00108" title="Other formats" id="oth-2310.00108" aria-labelledby="oth-2310.00108">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ko,+M">Myeongseob Ko</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Jin,+M">Ming Jin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+C">Chenguang Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Jia,+R">Ruoxi Jia</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> International Conference on Computer Vision (ICCV) 2023 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2310.00109" title="Abstract" id="2310.00109"> arXiv:2310.00109 </a> [<a href="/pdf/2310.00109" title="Download PDF" id="pdf-2310.00109" aria-labelledby="pdf-2310.00109">pdf</a>, <a href="https://arxiv.org/html/2310.00109v3" title="View HTML" id="html-2310.00109" aria-labelledby="html-2310.00109" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00109" title="Other formats" id="oth-2310.00109" aria-labelledby="oth-2310.00109">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Alam,+S">Samiul Alam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+T">Tuo Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Feng,+T">Tiantian Feng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Shen,+H">Hui Shen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Cao,+Z">Zhichao Cao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhao,+D">Dong Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ko,+J">JeongGil Ko</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Somasundaram,+K">Kiran Somasundaram</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Narayanan,+S+S">Shrikanth S. Narayanan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Avestimehr,+S">Salman Avestimehr</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhang,+M">Mi Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Camera-ready version of the Journal of Data-centric Machine Learning Research (DMLR) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Distributed, Parallel, and Cluster Computing (cs.DC); Digital Libraries (cs.DL) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2310.00111" title="Abstract" id="2310.00111"> arXiv:2310.00111 </a> [<a href="/pdf/2310.00111" title="Download PDF" id="pdf-2310.00111" aria-labelledby="pdf-2310.00111">pdf</a>, <a href="/format/2310.00111" title="Other formats" id="oth-2310.00111" aria-labelledby="oth-2310.00111">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Memory-efficient compression of $\mathcal{DH}^2$-matrices for high-frequency problems </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=B%C3%B6rm,+S">Steffen B枚rm</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Henningsen,+J">Janne Henningsen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span> </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2310.00112" title="Abstract" id="2310.00112"> arXiv:2310.00112 </a> [<a href="/pdf/2310.00112" title="Download PDF" id="pdf-2310.00112" aria-labelledby="pdf-2310.00112">pdf</a>, <a href="https://arxiv.org/html/2310.00112v2" title="View HTML" id="html-2310.00112" aria-labelledby="html-2310.00112" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00112" title="Other formats" id="oth-2310.00112" aria-labelledby="oth-2310.00112">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Reinforcement Learning for Node Selection in Branch-and-Bound </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mattick,+A">Alexander Mattick</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mutschler,+C">Christopher Mutschler</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2310.00113" title="Abstract" id="2310.00113"> arXiv:2310.00113 </a> [<a href="/pdf/2310.00113" title="Download PDF" id="pdf-2310.00113" aria-labelledby="pdf-2310.00113">pdf</a>, <a href="/format/2310.00113" title="Other formats" id="oth-2310.00113" aria-labelledby="oth-2310.00113">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ksi%C4%85%C5%BCek,+K">Kamil Ksi膮偶ek</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Spurek,+P">Przemys艂aw Spurek</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2310.00115" title="Abstract" id="2310.00115"> arXiv:2310.00115 </a> [<a href="/pdf/2310.00115" title="Download PDF" id="pdf-2310.00115" aria-labelledby="pdf-2310.00115">pdf</a>, <a href="/format/2310.00115" title="Other formats" id="oth-2310.00115" aria-labelledby="oth-2310.00115">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhu,+Y">Yanqiao Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Hwang,+J">Jeehyun Hwang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Adams,+K">Keir Adams</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liu,+Z">Zhen Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nan,+B">Bozhao Nan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Stenfors,+B">Brock Stenfors</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Du,+Y">Yuanqi Du</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chauhan,+J">Jatin Chauhan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wiest,+O">Olaf Wiest</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Isayev,+O">Olexandr Isayev</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Coley,+C+W">Connor W. Coley</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sun,+Y">Yizhou Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+W">Wei Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICLR 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2310.00116" title="Abstract" id="2310.00116"> arXiv:2310.00116 </a> [<a href="/pdf/2310.00116" title="Download PDF" id="pdf-2310.00116" aria-labelledby="pdf-2310.00116">pdf</a>, <a href="https://arxiv.org/html/2310.00116v4" title="View HTML" id="html-2310.00116" aria-labelledby="html-2310.00116" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00116" title="Other formats" id="oth-2310.00116" aria-labelledby="oth-2310.00116">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Fazlyab,+M">Mahyar Fazlyab</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Entesari,+T">Taha Entesari</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Roy,+A">Aniket Roy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chellappa,+R">Rama Chellappa</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 37th Conference on Neural Information Processing Systems (NeurIPS 2023) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2310.00117" title="Abstract" id="2310.00117"> arXiv:2310.00117 </a> [<a href="/pdf/2310.00117" title="Download PDF" id="pdf-2310.00117" aria-labelledby="pdf-2310.00117">pdf</a>, <a href="https://arxiv.org/html/2310.00117v4" title="View HTML" id="html-2310.00117" aria-labelledby="html-2310.00117" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2310.00117" title="Other formats" id="oth-2310.00117" aria-labelledby="oth-2310.00117">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ABScribe: Rapid Exploration &amp; Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Reza,+M">Mohi Reza</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Laundry,+N">Nathan Laundry</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Musabirov,+I">Ilya Musabirov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dushniku,+P">Peter Dushniku</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Yu,+Z+Y+%22">Zhi Yuan &#34;Michael&#34; Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mittal,+K">Kashish Mittal</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Grossman,+T">Tovi Grossman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Liut,+M">Michael Liut</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kuzminykh,+A">Anastasia Kuzminykh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Williams,+J+J">Joseph Jay Williams</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> CHI 2024 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Human-Computer Interaction (cs.HC)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> </dl> <div class='paging'>Total of 10481 entries : <span>1-50</span> <a href=/list/cs/2023-10?skip=50&amp;show=50>51-100</a> <a href=/list/cs/2023-10?skip=100&amp;show=50>101-150</a> <a href=/list/cs/2023-10?skip=150&amp;show=50>151-200</a> <span>...</span> <a href=/list/cs/2023-10?skip=10450&amp;show=50>10451-10481</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs/2023-10?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2023-10?skip=0&amp;show=100 rel="nofollow"> more</a> | <a href=/list/cs/2023-10?skip=0&amp;show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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