Paper

  • Disentangling Linear Quadratic Control with Untrusted ML Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling Linear Quadratic Control with Untrusted ML Predictions

    Tongxin Li, Hao Liu, Yisong Yue p86860-86898 from Advances in Neural Information Processing Systems 37
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  • Disentangling the Predictive Variance of Deep Ensembles Through the Neural Tangent Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling the Predictive Variance of Deep Ensembles Through the Neural Tangent Kernel

    Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes Von Oswald p25335-25348 from Advances in Neural Information Processing Systems 35
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  • Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems

    Carlos Brody, Diksha Gupta, Aditi Jha, Jonathan Pillow p33668-33690 from Advances in Neural Information Processing Systems 37
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  • Disentangling Transfer in Continual Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling Transfer in Continual Reinforcement Learning

    Lukasz Kucinski, Piotr Milos, Razvan Pascanu, Maciej Wolczyk, Michal Zajac p6304-6317 from Advances in Neural Information Processing Systems 35
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  • Disentangling Voice and Content with Self-Supervision for Speaker Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling Voice and Content with Self-Supervision for Speaker Recognition

    Kong Aik Lee, Haizhou Li, Tianchi Liu, Qiongqiong Wang p50221-50236 from Advances in Neural Information Processing Systems 36
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  • DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models

    Shangqian Gao, Yen-Chang Hsu, Ting Hua, Hongxia Jin, Chi-Heng Lin, Yilin Shen, Tang Zheng p72219-72244 from Advances in Neural Information Processing Systems 37
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  • Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation

    Louise Beyers, Claude Formanek, Arnu Pretorius, Jonathan Shock, Callum Tilbury p139650-139672 from Advances in Neural Information Processing Systems 37
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  • Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection

    Yang Hu, Yong Jiang, Qing Li, Ruoyu Li, Tao Li, Xinhan Lin, Nengwu Wu, Yu Zhang p84169-84196 from Advances in Neural Information Processing Systems 37
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  • Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning

    Angeliki Giannou, Yingcong Li, Samet Oymak, Dimitris Papailiopoulos, Kartik Sreenivasan p22021-22046 from Advances in Neural Information Processing Systems 36
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  • Dissecting Query-Key Interaction in Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissecting Query-Key Interaction in Vision Transformers

    Xu Pan, Aaron Philip, Odelia Schwartz, Ziqian Xie p54595-54631 from Advances in Neural Information Processing Systems 37
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  • Dissecting the Failure of Invariant Learning on Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissecting the Failure of Invariant Learning on Graphs

    Yisen Wang, Qixun Wang, Yifei Wang, Xianghua Ying p80383-80438 from Advances in Neural Information Processing Systems 37
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  • Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers

    Kazuki Irie, Francesca Mignacco, Haim Sompolinsky, Lorenzo Tiberi p72710-72753 from Advances in Neural Information Processing Systems 37
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