Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Towards Theoretically Inspired Neural Initialization Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Theoretically Inspired Neural Initialization Optimization

    Zhouchen Lin, Hong Wang, Yibo Yang, Haobo Yuan p18983-18995 from Advances in Neural Information Processing Systems 35
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  • Towards training digitally-tied analog blocks via hybrid gradient computation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards training digitally-tied analog blocks via hybrid gradient computation

    Maxence Ernoult, Timothy Nest p83877-83914 from Advances in Neural Information Processing Systems 37
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  • Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning

    Arsene Fansi Tchango, Joumana Ghosn, Rishab Goel, Gaetan Marceau Caron, Julien Martel, Zhi Wen p24502-24515 from Advances in Neural Information Processing Systems 35
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  • Towards Unbounded Machine Unlearning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Unbounded Machine Unlearning

    Jamie Hayes, Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou p1957-1987 from Advances in Neural Information Processing Systems 36
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  • Towards Understanding Evolving Patterns in Sequential Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding Evolving Patterns in Sequential Data

    Qi Chen, Long-Kai Huang, Charles Ling, Boyu Wang, Qiuhao Zeng p132747-132773 from Advances in Neural Information Processing Systems 37
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  • Towards Understanding Extrapolation: a Causal Lens

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding Extrapolation: a Causal Lens

    Guangyi Chen, Lingjing Kong, Haoxuan Li, Petar Stojanov, Eric Xing, Kun Zhang p123534-123562 from Advances in Neural Information Processing Systems 37
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  • Towards Understanding Grokking: An Effective Theory of Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding Grokking: An Effective Theory of Representation Learning

    Ouail Kitouni, Ziming Liu, Eric Michaud, Niklas S Nolte, Max Tegmark, Mike Williams p34651-34663 from Advances in Neural Information Processing Systems 35
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  • Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens

    Yong Liu, Ruifeng Ren p892-933 from Advances in Neural Information Processing Systems 37
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  • Towards Understanding the Condensation of Neural Networks at Initial Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding the Condensation of Neural Networks at Initial Training

    Tao Luo, Zhou Qixuan, Zhi-Qin Xu, Yaoyu Zhang, Hanxu Zhou p2184-2196 from Advances in Neural Information Processing Systems 35
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  • Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent

    Krishnakumar Balasubramanian, Promit Ghosal, Tianle Liu, Natesh Pillai p61234-61291 from Advances in Neural Information Processing Systems 36
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  • Towards Understanding the Mixture-Of-Experts Layer in Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding the Mixture-Of-Experts Layer in Deep Learning

    Zixiang Chen, Yihe Deng, Quanquan Gu, Yuanzhi Li, Yue Wu p23049-23062 from Advances in Neural Information Processing Systems 35
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  • Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model

    Aoxue Li, Zhenguo Li, Yi Xin, Mingyang Yi p55342-55369 from Advances in Neural Information Processing Systems 37
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  • Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration

    Zhaoyu Fan, Hao Fei, Richang Hong, Juncheng Li, Kaihang Pan, Qianru Sun, Siliang Tang, Qifan Yu, Hanwang Zhang p110290-110314 from Advances in Neural Information Processing Systems 37
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  • Towards Universal Mesh Movement Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Universal Mesh Movement Networks

    Xiang Chen, Stephan Kramer, Siyi Li, Jiancheng Liu, Matthew Piggott, Joseph Wallwork, Chunyang Wang, Mingrui Zhang p14934-14961 from Advances in Neural Information Processing Systems 37
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  • Towards Unsupervised Model Selection for Domain Adaptive Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Unsupervised Model Selection for Domain Adaptive Object Detection

    Jinhong Deng, Lixin Duan, Wen Li, Hengfu Yu p58423-58444 from Advances in Neural Information Processing Systems 37
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  • Towards Versatile Embodied Navigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Versatile Embodied Navigation

    Luc V Gool, Wei Liang, Hanqing Wang, Wenguan Wang p36858-36874 from Advances in Neural Information Processing Systems 35
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  • Towards Video Text Visual Question Answering: Benchmark and Baseline

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Video Text Visual Question Answering: Benchmark and Baseline

    Aobotao Dai, Bingjia Li, Guangze Li, Wanqing Li, Jie Wang, Shijie Xuyang, Xinkun Yu, Zhihang Yu, Lan Zhang, Minyi Zhao, Shuigeng Zhou, Wenjing Zhou p35549-35562 from Advances in Neural Information Processing Systems 35
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  • Towards Visual Text Design Transfer Across Languages

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Towards Visual Text Design Transfer Across Languages

    Yejin Choi, Jiwan Chung, Giyeong Oh, Sumin Shim, Youngjae Yu p89706-89727 from Advances in Neural Information Processing Systems 37
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  • Toxicity Detection for Free

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Toxicity Detection for Free

    Zhanhao Hu, Jiantao Jiao, Julien Piet, David Wagner, Geng Zhao p17518-17540 from Advances in Neural Information Processing Systems 37
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  • TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation

    Gwanhyeong Koo, Younghwan Lee, Chang Yoo, Sunjae Yoon p118654-118677 from Advances in Neural Information Processing Systems 37
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  • TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning

    Hui Chen, Yanbin Liu, Yongqiang Ma, Xin Yu, Nanning Zheng p102229-102254 from Advances in Neural Information Processing Systems 37
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  • TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s

    Felix Chern, Andy Davis, Ruiqi Guo, Blake Hechtman, Sanjiv Kumar, David Majnemer p15489-15501 from Advances in Neural Information Processing Systems 35
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  • TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

    Sami Abu-El-Haija, Michael Burrows, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi, Mangpo Phothilimthana p70355-70375 from Advances in Neural Information Processing Systems 36
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  • Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

    Ching-An Cheng, Allen Nie, Adith Swaminathan p71596-71642 from Advances in Neural Information Processing Systems 37
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