Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A StrongREJECT for Empty Jailbreaks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A StrongREJECT for Empty Jailbreaks

    Pieter Abbeel, Dillon Bowen, Scott Emmons, Elvis Hsieh, Qingyuan Lu, Sana Pandey, Alexandra Souly, Justin Svegliato, Sam Toyer, Tu Trinh, Olivia Watkins p125416-125440 from Advances in Neural Information Processing Systems 37
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  • A Structure-Aware Framework for Learning Device Placements on Computation Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Structure-Aware Framework for Learning Device Placements on Computation Graphs

    Nesreen Ahmed, Paul Bogdan, Mihai Capotă, Shukai Duan, Nikos Kanakaris, Panagiotis Kyriakis, Guixiang Ma, Shahin Nazarian, Heng Ping, Theodore Willke, Xiongye Xiao, Peiyu Zhang p81748-81772 from Advances in Neural Information Processing Systems 37
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  • A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning

    Jordan Ash, Arthur Juliani p113884-113910 from Advances in Neural Information Processing Systems 37
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  • A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time

    Pan Peng, Ranran Shen p41809-41828 from Advances in Neural Information Processing Systems 36
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  • A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation

    Tadanobu Inoue, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Haoxiang Qiu, Tomoya Sakai p27005-27023 from Advances in Neural Information Processing Systems 37
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  • A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

    Simon Bartels, Wouter Boomsma, Miguel González-Duque, Søren Hauberg, Richard Michael, Yevgen Zainchkovskyy p140478-140508 from Advances in Neural Information Processing Systems 37
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  • A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets

    Bradley Butcher, Adrian Weller, Miri Zilka p28008-28022 from Advances in Neural Information Processing Systems 35
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  • A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm

    Chuan Chen, Jialong Chen, Lele Fu, Tianchi Liao, Zhen Wang, Zibin Zheng p139886-139911 from Advances in Neural Information Processing Systems 37
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  • A Synthetic Dataset for Personal Attribute Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Synthetic Dataset for Personal Attribute Inference

    Robin Staab, Martin Vechev, Mark Vero, Hanna Yukhymenko p120735-120779 from Advances in Neural Information Processing Systems 37
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  • A Systematic Review of NeurIPS Dataset Management Practices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Systematic Review of NeurIPS Dataset Management Practices

    Leah Ajmani, Hanlin Li, Shayne Longpre, Yiwei Wu p32813-32827 from Advances in Neural Information Processing Systems 37
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  • A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

    Charles Herrmann, Junhwa Hur, Varun Jampani, Luisa Polania Cabrera, Deqing Sun, Ming-Hsuan Yang, Junyi Zhang p45533-45547 from Advances in Neural Information Processing Systems 36
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  • A Taxonomy of Challenges to Curating Fair Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Taxonomy of Challenges to Curating Fair Datasets

    Jerone Andrews, Pooja Chitre, Georgia Panagiotidou, Kathleen Pine, Morgan Scheuerman, Shawn Walker, Alice Xiang, Dora Zhao p97826-97858 from Advances in Neural Information Processing Systems 37
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  • 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

    Tianxi Cai, Feiqing Huang, Sara Sweet, Shenghan Zhang p115940-115962 from Advances in Neural Information Processing Systems 37
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  • 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

    Chris Callison-Burch, Mona Gandhi, James Gee, Yufei Wang, Yifan Wu, Yue Yang, Michael Yao, Mark Yatskar p90683-90713 from Advances in Neural Information Processing Systems 37
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  • 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

    Tong Zhang, Han Zhong p73666-73690 from Advances in Neural Information Processing Systems 36
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  • 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

    David Belius, Tin Sum Cheng, Ivan Dokmanic, Anastasis Kratsios, Aurelien Lucchi p4767-4798 from Advances in Neural Information Processing Systems 36
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  • 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

    Zachary Lipton, Tom Yan p27295-27339 from Advances in Neural Information Processing Systems 37
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  • 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
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  • A Theoretical Framework for Inference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Framework for Inference Learning

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Perspective for Speculative Decoding Algorithm

    Minshuo Chen, Kaixuan Huang, Mengdi Wang, Ming Yin p128082-128117 from Advances in Neural Information Processing Systems 37
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  • A Theoretical Study on Solving Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Study on Solving Continual Learning

    Zixuan Ke, Gyuhak Kim, Tatsuya Konishi, Bing Liu, Changnan Xiao p5065-5079 from Advances in Neural Information Processing Systems 35
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  • 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

    Xidong Feng, Bo Liu, Luo Mai, Jie Ren, Jun Wang, Yaodong Yang, Haifeng Zhang, Rui Zhu p31059-31072 from Advances in Neural Information Processing Systems 35
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  • 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

    Yisen Wang, Stefanie Jegelka, Yifei Wang, Zeming Wei, Yuyang Wu p89869-89912 from Advances in Neural Information Processing Systems 37
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  • 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
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