Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Generalization Bounds for Projective Clustering

Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn, Mads Toftrup p71723-71754 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion

Dangyang Chen, Yu Cheng, Chenghao Fan, Zhenyi Lu, Xiaoye Qu, Jie Tian, Wei Wei p29986-30014 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Global Convergence of ResNets: From Finite to Infinite Width Using Linear Parameterization

Raphaël Barboni, Gabriel Peyré, Francois-Xavier Vialard p16385-16397 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Image Segmentation with Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice

Henrik Hult, Fredrik Löfman, Marcus Nordstrom, Jonas Söderberg p34321-34333 from Advances in Neural Information Processing Systems 35

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On Imitation in Mean-field Games

Matthieu Geist, Niao He, Pavel Kolev, Mathieu Lauriere, Olivier Pietquin, Giorgia Ramponi p40426-40437 from Advances in Neural Information Processing Systems 36

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On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

Karteek Alahari, Reyhane Askari-Hemmat, Pietro Astolfi, Yohann Benchetrit, Tariq Berrada, Michal Drozdzal, Melissa Hall, Marton Havasi, Matthew Muckley, Adriana Romero-Soriano, Jakob Verbeek p13321-13348 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Infinite Separations Between Simple and Optimal Mechanisms

Alexandros Psomas, Ariel Schvartzman Cohenca, S. Weinberg p4818-4829 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On kernel-based statistical learning theory in the mean field limit

Christian Fiedler, Michael Herty, Sebastian Trimpe p20441-20468 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Kernelized Multi-Armed Bandits with Constraints

Bo Ji, Xingyu Zhou p14-26 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Learning Fairness and Accuracy on Multiple Subgroups

Tal Arbel, Qi Chen, Christian Gagné, Jiaqi Li, Charles Ling, Changjian Shui, Boyu Wang, Gezheng Xu p34121-34135 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Learning Latent Models with Multi-Instance Weak Supervision

Dan Roth, Efthymia Tsamoura, Kaifu Wang p9661-9694 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Lei Bai, Xiao Guo, Qirui Li, Xiaohong Liu, Xiaoming Liu, Xiufeng Song, Guangtao Zhai, Jiache Zhang p122054-122077 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Learning Necessary and Sufficient Causal Graphs

Hengrui Cai, Michael Jordan, Rui Song, Yixin Wang p42148-42160 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Leave-One-Out Conditional Mutual Information for Generalization

Alessandro Achille, Suhas Diggavi, Aditya Golatkar, Mohamad Rida Rammal, Stefano Soatto p10179-10190 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Margin Maximization in Linear and ReLU Networks

Ohad Shamir, Nati Srebro, Gal Vardi p37024-37036 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Margins and Generalisation for Voting Classifiers

Felix Biggs, Benjamin Guedj, Valentina Zantedeschi p9713-9726 from Advances in Neural Information Processing Systems 35

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On Masked Pre-training and the Marginal Likelihood

Pol Garcia Recasens, Søren Hauberg, Pablo Moreno-Muñoz p79781-79791 from Advances in Neural Information Processing Systems 36

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On Measuring Excess Capacity in Neural Networks

Florian Graf, Roland Kwitt, Marc Niethammer, Bastian Rieck, Sebastian Zeng p10164-10178 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Measuring Fairness in Generative Models

Milad Abdollahzadeh, Ngai-Man (Man) Cheung, Christopher Teo p10644-10656 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

Wei Huang, Chongxuan Li, Rongzhen Wang, Guoqiang Wu, Chenyu Zheng, Jun Zhu p49081-49129 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

Matthew Engelhard, Boyao Li, Houssam Nassif, David Page, Alexander Thomson p4598-4628 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Non-Linear Operators for Geometric Deep Learning

Joan Bruna, Jakob Maier, Edouard Oyallon, Grégoire Sergeant-Perthuis p10984-10995 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes

Rajat Modi, Yogesh Rawat, Vibhav Vineet p57306-57335 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Optimal Learning Under Targeted Data Poisoning

Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran p30770-30782 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Generalization Bounds for Projective Clustering

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion

On Global Convergence of ResNets: From Finite to Infinite Width Using Linear Parameterization

On Image Segmentation with Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice

On Imitation in Mean-field Games

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

On Infinite Separations Between Simple and Optimal Mechanisms

On kernel-based statistical learning theory in the mean field limit

On Kernelized Multi-Armed Bandits with Constraints

On Learning Fairness and Accuracy on Multiple Subgroups

On Learning Latent Models with Multi-Instance Weak Supervision

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

On Learning Necessary and Sufficient Causal Graphs

On Leave-One-Out Conditional Mutual Information for Generalization

On Margin Maximization in Linear and ReLU Networks

On Margins and Generalisation for Voting Classifiers

On Masked Pre-training and the Marginal Likelihood

On Measuring Excess Capacity in Neural Networks

On Measuring Fairness in Generative Models

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

On Non-Linear Operators for Geometric Deep Learning

On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes

On Optimal Learning Under Targeted Data Poisoning

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