Paper

  • Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

    Yiu-ming Cheung, Hui Huang, Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang p103985-104009 from Advances in Neural Information Processing Systems 37
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  • Improving Zero-Shot Generalization in Offline Reinforcement Learning Using Generalized Similarity Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Zero-Shot Generalization in Offline Reinforcement Learning Using Generalized Similarity Functions

    Ilya Kostrikov, Bogdan Mazoure, Ofir Nachum, Jonathan Tompson p25088-25101 from Advances in Neural Information Processing Systems 35
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  • In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer

    Bo An, Yuzhou Cao, Lei Feng, Hussein Mozannar, Hongxin Wei p38485-38503 from Advances in Neural Information Processing Systems 36
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  • In Defense of the Unitary Scalarization for Deep Multi-Task Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In Defense of the Unitary Scalarization for Deep Multi-Task Learning

    Alessandro De Palma, Ilya Kostrikov, Vitaly Kurin, Pawan K Mudigonda, Shimon Whiteson p12169-12183 from Advances in Neural Information Processing Systems 35
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  • In Differential Privacy, There is Truth: On Vote-Histogram Leakage in Ensemble Private Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In Differential Privacy, There is Truth: On Vote-Histogram Leakage in Ensemble Private Learning

    David Lie, Nicolas Papernot, Roei Schuster, I Shumailov, Jiaqi Wang p29026-29037 from Advances in Neural Information Processing Systems 35
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  • In Pursuit of Causal Label Correlations for Multi-label Image Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In Pursuit of Causal Label Correlations for Multi-label Image Recognition

    Sixian Chan, Zhao-Min Chen, Yisu Ge, Xin Jin p51634-51654 from Advances in Neural Information Processing Systems 37
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  • In the Eye of the Beholder: Robust Prediction with Causal User Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In the Eye of the Beholder: Robust Prediction with Causal User Modeling

    Amir Feder, Guy Horowitz, Roi Reichart, Nir Rosenfeld, Yoav Wald p14419-14433 from Advances in Neural Information Processing Systems 35
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  • In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

    Tim Doster, Tegan Emerson, Grayson Jorgenson, Henry Kvinge, Jesse Lew, Scott Vasquez p32816-32829 from Advances in Neural Information Processing Systems 35
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  • In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

    Yunbum Kook, Santosh Vempala, Matthew Zhang p108354-108388 from Advances in Neural Information Processing Systems 37
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  • In-Context Impersonation Reveals Large Language Models' Strengths and Biases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Impersonation Reveals Large Language Models' Strengths and Biases

    Zeynep Akata, Stephan Alaniz, Isabel Rio-Torto, Leonard Salewski, Eric Schulz p72044-72057 from Advances in Neural Information Processing Systems 36
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  • In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization

    Peter Bartlett, Jingfeng Wu, Ruiqi Zhang p18310-18361 from Advances in Neural Information Processing Systems 37
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  • In-Context Learning State Vector with Inner and Momentum Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Learning State Vector with Inner and Momentum Optimization

    Baotian Hu, Xinshuo Hu, Dongfang Li, Zhenyu Liu, Zetian Sun, Min Zhang p7797-7820 from Advances in Neural Information Processing Systems 37
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