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

    Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, 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

    João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian 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

    Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta 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

    Francesca Bartolucci, Emmanuel De Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari 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

    Thalles Santos Silva, Adín Ramírez Rivera 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

    Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz 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

    Clayton Sanford, Daniel Hsu, 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 Coll-Vinent, 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

    Edward Raff, James Holt 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

    Polina Turishcheva, Max Burg, Fabian Sinz, Alexander Ecker 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

    Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma 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

    Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Milos 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

    Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, 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

    Xincheng Yao, Zixin Chen, Chao Gao, 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

    Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu 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

    Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer 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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