Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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

    Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore Willke, Paul Bogdan 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

    Arthur Juliani, Jordan Ash 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

    Ranran Shen, Pan Peng 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

    Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Tadanobu Inoue 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

    Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma 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

    Miri Zilka, Bradley Butcher, Adrian Weller 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

    Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen 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

    Hanna Yukhymenko, Robin Staab, Mark Vero, Martin Vechev 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

    Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li 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

    Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang 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

    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
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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

    Feiqing Huang, Shenghan Zhang, Sara Sweet, Tianxi Cai 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

    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
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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

    Han Zhong, Tong Zhang 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

    Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius 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

    Tom Yan, Zachary Lipton 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, Beren Millidge, Jeffrey Krichmar, 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

    Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang 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

    Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu 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

    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
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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

    Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang 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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  • 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
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