Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Pablo BarcelĂł, Ismail Ceylan, Xingyue Huang, Miguel Romero p19714-19748 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • A Theory of PAC Learnability Under Transformation Invariances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of PAC Learnability Under Transformation Invariances

    Avrim Blum, Omar Montasser, Han Shao p13989-14001 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • A Theory of Weight Distribution-Constrained Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Weight Distribution-Constrained Learning

    Daniel Lee, Haim Sompolinsky, Ben Sorscher, Weishun Zhong p14113-14127 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Lucas N. Alegre, Ana Bazzan, Bruno C. Da Silva, Grégoire Danoy, Florian Felten, Ann Nowe, El Ghazali Talbi p23671-23700 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Zhuo Feng, Xiaoxue Han, Yue Ning p132491-132523 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Tractable Inference Perspective of Offline RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Tractable Inference Perspective of Offline RL

    Yitao Liang, Anji Liu, Xuejie Liu, Guy Van den Broeck p70953-70980 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Jianyuan Guo, Kai Han, Zhishan Li, Ying Nie, Yunhe Wang, Lei Xie p38733-38746 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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, Alessio Figalli, Gian Leonardi, David Sutter p23013-23039 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Vaneet Aggarwal, Jiayu Chen, Tian Lan p67925-67947 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Mingyue Ji, Shiqiang Wang p19124-19137 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Sanghyuk Chun, Chanwoo Park, Sangdoo Yun p35504-35518 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Vaneet Aggarwal, Mohammad Pedramfar, Christopher Quinn p61103-61114 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Kareem Ahmed, Vinay Shukla, Guy Van Den Broeck, Zhe Zeng p38709-38722 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Dasong Li, Hongsheng Li, Xiaoyu Shi, Xiaogang Wang, Jian Wang, Yi Zhang p49703-49714 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Kwang-Sung Jun, Jungyhun Lee, Se-Young Yun p124640-124685 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00