Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Implicit Warping for Animation with Image Sets

Arun Mallya, Ting-Chun Wang, Ming-Yu Liu p22438-22450 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes

Qi Ma, Danda Paudel, Ender Konukoglu, Luc Van Gool p88684-88704 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing

Daniele Baieri, Filippo Maggioli, Emanuele Rodolà, Simone Melzi, Zorah Laehner p138280-138310 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient

Nataša Tagasovska, Vladimir Gligorijevic, Kyunghyun Cho, Andreas Loukas p35973-36001 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao p49579-49602 from Advances in Neural Information Processing Systems 36

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Importance-aware Co-teaching for Offline Model-based Optimization

Ye Yuan, Can (Sam) Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu p55718-55733 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations

Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj p59621-59654 from Advances in Neural Information Processing Systems 37

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IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen p10657-10677 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Haohan Chi, Huan-ang Gao, Ziming Liu, Jianing Liu, Chenyu Liu, Jinwei Li, Kaisen Yang, Yangcheng Yu, Zeda Wang, Wenyi Li, Leichen Wang, Xingtao HU, HAO SUN, Hang Zhao, Hao Zhao p84771-84806 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding

Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li p177463-177485 from Advances in Neural Information Processing Systems 38

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Improved Algorithms for Contextual Dynamic Pricing

Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet p126088-126117 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski p169401-169421 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Algorithms for Neural Active Learning

Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He p27497-27509 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An p78913-78945 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures

Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters p45102-45136 from Advances in Neural Information Processing Systems 36

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Improved Analysis for Bandit Learning in Matching Markets

Fang Kong, Zilong Wang, Shuai Li p91904-91929 from Advances in Neural Information Processing Systems 37

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Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering

Chenglin Fan, Dahoon Lee, Euiwoong Lee p179349-179367 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Balanced Classification with Theoretically Grounded Loss Functions

Corinna Cortes, Mehryar Mohri, Yutao Zhong p86424-86465 from Advances in Neural Information Processing Systems 38

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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms

Jiechao Guan, Hui Xiong p72964-72999 from Advances in Neural Information Processing Systems 37

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Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition

Meena Jagadeesan, Michael Jordan, Jacob Steinhardt, Nika Haghtalab p66940-66952 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning

Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal p23557-23569 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms

Tiancheng Jin, Junyan Liu, Haipeng Luo p30918-30978 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback

Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour p2312-2349 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Improved Bounds for Swap Multicalibration and Swap Omniprediction

Haipeng Luo, Spandan Senapati, Vatsal Sharan p23221-23263 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Implicit Warping for Animation with Image Sets

Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes

Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing

Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning

Importance-aware Co-teaching for Offline Model-based Optimization

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding

Improved Algorithms for Contextual Dynamic Pricing

Improved Algorithms for Fair Matroid Submodular Maximization

Improved Algorithms for Neural Active Learning

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures

Improved Analysis for Bandit Learning in Matching Markets

Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering

Improved Balanced Classification with Theoretically Grounded Loss Functions

Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms

Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning

Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms

Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback

Improved Bounds for Swap Multicalibration and Swap Omniprediction

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