Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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

    Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-Ming Cheung, Hui Huang 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

    Bogdan Mazoure, Ilya Kostrikov, 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

    Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An 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

    Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan K Mudigonda 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

    Jiaqi Wang, Roei Schuster, I Shumailov, David Lie, Nicolas Papernot 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

    Zhao-Min Chen, Xin Jin, Yisu Ge, Sixian Chan 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, Yoav Wald, Roi Reichart, Nir Rosenfeld 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?

    Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse Lew 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

    Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata 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

    Ruiqi Zhang, Jingfeng Wu, Peter Bartlett 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

    Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang p7797-7820 from Advances in Neural Information Processing Systems 37
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  • In-Context Learning Unlocked for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Learning Unlocked for Diffusion Models

    Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang "atlas" Wang, Mingyuan Zhou p8542-8562 from Advances in Neural Information Processing Systems 36
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  • In-Context Learning with Representations: Contextual Generalization of Trained Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Learning with Representations: Contextual Generalization of Trained Transformers

    Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi p85867-85898 from Advances in Neural Information Processing Systems 37
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  • In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness

    Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai p92638-92696 from Advances in Neural Information Processing Systems 37
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  • In-Context Symmetries: Self-Supervised Learning through Contextual World Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Context Symmetries: Self-Supervised Learning through Contextual World Models

    Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka p104250-104280 from Advances in Neural Information Processing Systems 37
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  • In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment

    Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong p45737-45766 from Advances in Neural Information Processing Systems 37
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  • In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates

    Shicheng Liu, Minghui Zhu p117164-117209 from Advances in Neural Information Processing Systems 37
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  • Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization

    Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta p17811-17831 from Advances in Neural Information Processing Systems 36
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  • Incentives in Private Collaborative Machine Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentives in Private Collaborative Machine Learning

    Rachael Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet p7555-7593 from Advances in Neural Information Processing Systems 36
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  • Incentivized Communication for Federated Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentivized Communication for Federated Bandits

    Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang p54399-54420 from Advances in Neural Information Processing Systems 36
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  • Incentivizing Combinatorial Bandit Exploration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentivizing Combinatorial Bandit Exploration

    Xinyan Hu, Dung Ngo, Aleksandrs Slivkins, Steven Wu p37173-37183 from Advances in Neural Information Processing Systems 35
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  • Incentivizing Honesty among Competitors in Collaborative Learning and Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentivizing Honesty among Competitors in Collaborative Learning and Optimization

    Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin Vechev p7659-7696 from Advances in Neural Information Processing Systems 36
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  • Incentivizing Quality Text Generation via Statistical Contracts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentivizing Quality Text Generation via Statistical Contracts

    Eden Saig, Ohad Einav, Inbal Talgam-Cohen p51196-51222 from Advances in Neural Information Processing Systems 37
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