Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

    Peter Dixon, A. Pavan, Jamie Radcliffe, Jason Vander Woude, N. V. Vinodchandran p78996-79028 from Advances in Neural Information Processing Systems 37
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  • Replicability in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replicability in Reinforcement Learning

    Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou p74702-74735 from Advances in Neural Information Processing Systems 36
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  • Replicable Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replicable Clustering

    Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou p39277-39320 from Advances in Neural Information Processing Systems 36
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  • Replicable Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replicable Reinforcement Learning

    Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell p15172-15185 from Advances in Neural Information Processing Systems 36
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  • Replicable Uniformity Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replicable Uniformity Testing

    Sihan Liu, Christopher Ye p32039-32075 from Advances in Neural Information Processing Systems 37
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  • RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content

    Nicolas Chapados, Étienne Marcotte, João Monteiro, Pierre-André Noël, Christopher Pal, Sai Rajeswar, Perouz Taslakian, David Vázquez, Valentina Zantedeschi p24242-24276 from Advances in Neural Information Processing Systems 37
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  • RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

    Siri Gadipudi, Abhishek Gupta, Max Simchowitz, Chuning Zhu p32445-32467 from Advances in Neural Information Processing Systems 36
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  • Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

    Rima Alaifari, Francesca Bartolucci, Emmanuel De Bézenac, Siddhartha Mishra, Roberto Molinaro, Bogdan Raonic p69661-69672 from Advances in Neural Information Processing Systems 36
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  • Representation Learning via Consistent Assignment of Views over Random Partitions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Representation Learning via Consistent Assignment of Views over Random Partitions

    Adín Ramírez Rivera, Thalles Santos Silva p39582-39601 from Advances in Neural Information Processing Systems 36
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  • Representation Noising: A Defence Mechanism Against Harmful Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Representation Noising: A Defence Mechanism Against Harmful Finetuning

    David Atanasov, Łukasz Bartoszcze, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Domenic Rosati, Frank Rudzicz, Hassan Sajjad, Jan Wehner, Kai Williams p12636-12676 from Advances in Neural Information Processing Systems 37
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  • Representational Strengths and Limitations of Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Representational Strengths and Limitations of Transformers

    Daniel Hsu, Clayton Sanford, Matus Telgarsky p36677-36707 from Advances in Neural Information Processing Systems 36
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  • Representing Spatial Trajectories as Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Representing Spatial Trajectories as Distributions

    Didac Suris, Carl Vondrick p13731-13744 from Advances in Neural Information Processing Systems 35
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  • Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

    James Holt, Edward Raff p13530-13544 from Advances in Neural Information Processing Systems 36
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  • Reproducibility in Optimization: Theoretical Framework and Limits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reproducibility in Optimization: Theoretical Framework and Limits

    Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I Shamir p18022-18033 from Advances in Neural Information Processing Systems 35
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  • Reproducibility of predictive networks for mouse visual cortex

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reproducibility of predictive networks for mouse visual cortex

    Max Burg, Alexander Ecker, Fabian Sinz, Polina Turishcheva p7930-7956 from Advances in Neural Information Processing Systems 37
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  • Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design

    Jiaqi Guan, Jianzhu Ma, Xingang Peng, Liang Wang, Yijia Zhang, Xiangxin Zhou p87255-87281 from Advances in Neural Information Processing Systems 37
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  • Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe

    Mateja Jamnik, Albert Q. Jiang, Wenda Li, Piotr Miłoś, Bartosz Piotrowski, Alicja Ziarko p61106-61137 from Advances in Neural Information Processing Systems 37
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  • Reranking Laws for Language Generation: A Communication-Theoretic Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reranking Laws for Language Generation: A Communication-Theoretic Perspective

    António Farinhas, Haau-Sing Li, André Martins p111074-111105 from Advances in Neural Information Processing Systems 37
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  • Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone

    Ziyuan Huang, Zeyinzi Jiang, Yiliang Lv, Ao Ma, Chaojie Mao, Yujun Shen, Deli Zhao, Jingren Zhou p42689-42716 from Advances in Neural Information Processing Systems 36
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  • ResAD: A Simple Framework for Class Generalizable Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ResAD: A Simple Framework for Class Generalizable Anomaly Detection

    Zixin Chen, Chao Gao, Xincheng Yao, Guangtao Zhai, Chongyang Zhang p125287-125311 from Advances in Neural Information Processing Systems 37
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  • Resetting the Optimizer in Deep RL: An Empirical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Resetting the Optimizer in Deep RL: An Empirical Study

    Kavosh Asadi, Rasool Fakoor, Shoham Sabach p72284-72324 from Advances in Neural Information Processing Systems 36
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  • Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

    Changsheng Dong, Huazhu Fu, Along He, Tao Li, Bin Pan, Zhenning Shi, Xueshuo Xie, Chen Xu, Haoshuai Zheng p130664-130693 from Advances in Neural Information Processing Systems 37
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  • Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

    Bernd Bischl, Matthias Feurer, Thomas Nagler, Lennart Schneider p40486-40533 from Advances in Neural Information Processing Systems 37
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  • Residual Alignment: Uncovering the Mechanisms of Residual Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Residual Alignment: Uncovering the Mechanisms of Residual Networks

    Jianing Li, Vardan Papyan p57660-57712 from Advances in Neural Information Processing Systems 36
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