Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Theory of Multimodal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Multimodal Learning

    Zhou Lu p57244-57255 from Advances in Neural Information Processing Systems 36
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  • A Theory of Optimistically Universal Online Learnability for General Concept Classes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Optimistically Universal Online Learnability for General Concept Classes

    Steve Hanneke, Hongao Wang p52749-52775 from Advances in Neural Information Processing Systems 37
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  • A Theory of PAC Learnability Under Transformation Invariances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of PAC Learnability Under Transformation Invariances

    Han Shao, Omar Montasser, Avrim Blum p13989-14001 from Advances in Neural Information Processing Systems 35
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  • A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications

    Yanbo Chen, Weiwei Liu p13887-13907 from Advances in Neural Information Processing Systems 36
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  • A Theory of Unsupervised Translation Motivated by Understanding Animal Communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Unsupervised Translation Motivated by Understanding Animal Communication

    Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise p37286-37320 from Advances in Neural Information Processing Systems 36
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  • A Theory of Weight Distribution-Constrained Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Weight Distribution-Constrained Learning

    Weishun Zhong, Ben Sorscher, Daniel Lee, Haim Sompolinsky p14113-14127 from Advances in Neural Information Processing Systems 35
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  • A Time-Resolved Theory of Information Encoding in Recurrent Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Time-Resolved Theory of Information Encoding in Recurrent Neural Networks

    Rainer Engelken, Sven Goedeke p35490-35503 from Advances in Neural Information Processing Systems 35
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  • A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

    Florian Felten, Lucas N. Alegre, Ann Nowe, Ana Bazzan, El Ghazali Talbi, Grégoire Danoy, Bruno C. Da Silva p23671-23700 from Advances in Neural Information Processing Systems 36
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  • A Topology-aware Graph Coarsening Framework for Continual Graph Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Topology-aware Graph Coarsening Framework for Continual Graph Learning

    Xiaoxue Han, Zhuo Feng, Yue Ning p132491-132523 from Advances in Neural Information Processing Systems 37
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  • A Tractable Inference Perspective of Offline RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Tractable Inference Perspective of Offline RL

    Xuejie Liu, Anji Liu, Guy Van Den Broeck, Yitao Liang p70953-70980 from Advances in Neural Information Processing Systems 37
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  • A Transformer-Based Object Detector with Coarse-Fine Crossing Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Transformer-Based Object Detector with Coarse-Fine Crossing Representations

    Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang p38733-38746 from Advances in Neural Information Processing Systems 35
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  • A Trichotomy for Transductive Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Trichotomy for Transductive Online Learning

    Steve Hanneke, Shay Moran, Jonathan Shafer p19502-19519 from Advances in Neural Information Processing Systems 36
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  • A two-scale Complexity Measure for Deep Learning Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A two-scale Complexity Measure for Deep Learning Models

    Massimiliano Datres, Gian Leonardi, Alessio Figalli, David Sutter p23013-23039 from Advances in Neural Information Processing Systems 37
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  • A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

    Alicia Curth, Alan Jeffares, Mihaela Van Der Schaar p55932-55962 from Advances in Neural Information Processing Systems 36
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  • A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

    Jiayu Chen, Vaneet Aggarwal, Tian Lan p67925-67947 from Advances in Neural Information Processing Systems 36
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  • A Unified Analysis of Federated Learning with Arbitrary Client Participation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Analysis of Federated Learning with Arbitrary Client Participation

    Shiqiang Wang, Mingyue Ji p19124-19137 from Advances in Neural Information Processing Systems 35
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  • A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

    Chanwoo Park, Sangdoo Yun, Sanghyuk Chun p35504-35518 from Advances in Neural Information Processing Systems 35
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  • A Unified Approach for Maximizing Continuous DR-submodular Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Approach for Maximizing Continuous DR-submodular Functions

    Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal p61103-61114 from Advances in Neural Information Processing Systems 36
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  • A Unified Approach to Count-Based Weakly Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Approach to Count-Based Weakly Supervised Learning

    Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van Den Broeck p38709-38722 from Advances in Neural Information Processing Systems 36
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  • A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

    Haizhou Shi, Hao Wang p15027-15059 from Advances in Neural Information Processing Systems 36
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  • A Unified Conditional Framework for Diffusion-based Image Restoration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Conditional Framework for Diffusion-based Image Restoration

    Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li p49703-49714 from Advances in Neural Information Processing Systems 36
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  • A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

    Jungyhun Lee, Se-Young Yun, Kwang-Sung Jun p124640-124685 from Advances in Neural Information Processing Systems 37
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  • A Unified Convergence Theorem for Stochastic Optimization Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Convergence Theorem for Stochastic Optimization Methods

    Xiao Li, Andre Milzarek p33107-33119 from Advances in Neural Information Processing Systems 35
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  • A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

    Hoin Jung, Taeuk Jang, Xiaoqian Wang p21034-21058 from Advances in Neural Information Processing Systems 37
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