Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models

    YuQing Xie, Tess Smidt p59226-59258 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Taxonomy of Challenges to Curating Fair Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Taxonomy of Challenges to Curating Fair Datasets

    Dora Zhao, Morgan Scheuerman, Pooja Chitre, Jerone Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen Pine, Alice Xiang p97826-97858 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A teacher-teacher framework for clinical language representation learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A teacher-teacher framework for clinical language representation learning

    Feiqing Huang, Shenghan Zhang, Sara Sweet, Tianxi Cai p115940-115962 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

    Mucong Ding, Bang An, Tahseen Rabbani, Chenghao Deng, Anirudh Satheesh, Souradip Chakraborty, Mehrdad Saberi, Yuxin Wen, Kyle Sang, Aakriti Agrawal, Xuandong Zhao, Mo Zhou, Mary-Anne Hartley, Lei Li, Yu-Xiang Wang, Vishal Patel, Soheil Feizi, et al. p16168-16199 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Temporal Difference Method for Stochastic Continuous Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Temporal Difference Method for Stochastic Continuous Dynamics

    Haruki Settai, Naoya Takeishi, Takehisa Yairi p28792-28816 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis

    Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael Yao, Chris Callison-Burch, James Gee, Mark Yatskar p90683-90713 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes

    Han Zhong, Tong Zhang p73666-73690 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

    Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius p4767-4798 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning

    Tom Yan, Zachary Lipton p27295-27339 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A theoretical design of concept sets: improving the predictability of concept bottleneck models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A theoretical design of concept sets: improving the predictability of concept bottleneck models

    Max Ruiz Luyten, Mihaela Van Der Schaar p100160-100195 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation

    Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir p167957-167993 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Theoretical Framework for Inference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Framework for Inference Learning

    Nick Alonso, Beren Millidge, Jeffrey Krichmar, Emre O Neftci p37335-37348 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Theoretical Perspective for Speculative Decoding Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Perspective for Speculative Decoding Algorithm

    Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang p128082-128117 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning

    Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma p97089-97122 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Theoretical Study on Solving Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Study on Solving Continual Learning

    Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu p5065-5079 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

    Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang p31059-31072 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Theoretical Understanding of Self-Correction through In-context Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Understanding of Self-Correction through In-context Alignment

    Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang p89869-89912 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Theoretical View on Sparsely Activated Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical View on Sparsely Activated Networks

    Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang p30071-30084 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Theory for Worst-Case vs. Average-Case Guarantees for LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory for Worst-Case vs. Average-Case Guarantees for LLMs

    Noga Amit, Shafi Goldwasser, Orr Paradise, Guy Rothblum p162622-162658 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló p19714-19748 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Theory of Multimodal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Multimodal Learning

    Zhou Lu p57244-57255 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Theory of Optimistically Universal Online Learnability for General Concept Classes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Optimistically Universal Online Learnability for General Concept Classes

    Steve Hanneke, Hongao Wang p52749-52775 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Theory of PAC Learnability Under Transformation Invariances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of PAC Learnability Under Transformation Invariances

    Han Shao, Omar Montasser, Avrim Blum p13989-14001 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications

    Yanbo Chen, Weiwei Liu p13887-13907 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00