Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders

    Arthur Conmy, János Kramár, Tom Lieberum, Neel Nanda, Senthooran Rajamanoharan, Rohin Shah, Lewis Smith, Vikrant Varma p775-818 from Advances in Neural Information Processing Systems 37
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  • Improving Subgroup Robustness via Data Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Subgroup Robustness via Data Selection

    Kristian Georgiev, Marzyeh Ghassemi, Kimia Hamidieh, Andrew Ilyas, Saachi Jain, Aleksander Mądry p94490-94511 from Advances in Neural Information Processing Systems 37
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  • Improving Temporal Link Prediction via Temporal Walk Matrix Projection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Temporal Link Prediction via Temporal Walk Matrix Projection

    Xiaodong Lu, Weifeng Lv, Leilei Sun, Tongyu Zhu p141153-141182 from Advances in Neural Information Processing Systems 37
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  • Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting

    Man Zhou p138474-138490 from Advances in Neural Information Processing Systems 37
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  • Improving the Training of Rectified Flows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving the Training of Rectified Flows

    Giulia Fanti, Sangyun Lee, Zinan Lin p63082-63109 from Advances in Neural Information Processing Systems 37
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  • Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity

    Kaja Gruntkowska, Peter Richtárik, Alexander Tyurin p88807-88873 from Advances in Neural Information Processing Systems 37
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  • Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection

    Chengmin Gao, Yinxuan Huang, Bin Li, Xiangyang Xue p19907-19932 from Advances in Neural Information Processing Systems 37
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  • 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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  • 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-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 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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  • 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

    Yuejie Chi, Yu Huang, Yingbin Liang, Tong Yang 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, Aryan Mokhtari, Advait Parulekar, 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, Tommi Jaakkola, Stefanie Jegelka, Chenyu Wang, Yifei Wang 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

    Tingjin Chu, Huan Fu, Mingming Gong, Jiaxian Guo, Dongting Hu, Feng Liu, Tongliang Liu, Liuhua Peng 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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  • Incentivizing Quality Text Generation via Statistical Contracts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incentivizing Quality Text Generation via Statistical Contracts

    Ohad Einav, Eden Saig, Inbal Talgam-Cohen p51196-51222 from Advances in Neural Information Processing Systems 37
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  • IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark

    Fredrik Johansson p136173-136192 from Advances in Neural Information Processing Systems 37
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  • Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques

    Manh Dao, Trong Hoang, Phi Le Nguyen, Thao Truong p8014-8046 from Advances in Neural Information Processing Systems 37
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  • Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery

    Mingxian Fan, Chengjiang Long, Yongwei Nie, Xuemiao Xu, Qing Zhang, Jian Zhu p11634-11663 from Advances in Neural Information Processing Systems 37
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  • Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

    Wonje Choi, Woo Kyung Kim, Daehee Lee, Honguk Woo, Minjong Yoo p17286-17312 from Advances in Neural Information Processing Systems 37
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  • INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

    Hung Le, Sahoo, Silvio Savarese, Caiming Xiong, Yingbo Zhou p85546-85582 from Advances in Neural Information Processing Systems 37
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  • IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

    Srija Anand, Mitesh Khapra, Aditi Krishana, Shridhar Kumar, Deovrat Mehendale, Giri Raju, Ashwin Sankar, Mehak Singal, Sherry Thomas, Praveen Varadhan p68161-68182 from Advances in Neural Information Processing Systems 37
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