Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Pre-trained Large Language Models Use Fourier Features to Compute Addition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-trained Large Language Models Use Fourier Features to Compute Addition

    Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia p25120-25151 from Advances in Neural Information Processing Systems 37
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  • Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning

    Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou p37389-37400 from Advances in Neural Information Processing Systems 35
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  • Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation

    Haoqi Yuan, Yuhui Fu, Feiyang Xie, Zongqing Lu p55086-55114 from Advances in Neural Information Processing Systems 37
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  • Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

    Gunshi Gupta, Karmesh Yadav, Yarin Gal, Zsolt Kira, Dhruv Batra, Cong Lu, Tim Rudner p74182-74210 from Advances in Neural Information Processing Systems 37
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  • Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

    Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long p39719-39743 from Advances in Neural Information Processing Systems 36
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  • Pre-training Differentially Private Models with Limited Public Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-training Differentially Private Models with Limited Public Data

    Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis p94652-94683 from Advances in Neural Information Processing Systems 37
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  • Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction

    Zuobai Zhang, Minghao Xu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang p43496-43524 from Advances in Neural Information Processing Systems 36
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  • Precipitation Downscaling with Spatiotemporal Video Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precipitation Downscaling with Spatiotemporal Video Diffusion

    Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt p56374-56400 from Advances in Neural Information Processing Systems 37
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  • Precise asymptotic generalization for multiclass classification with overparameterized linear models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precise asymptotic generalization for multiclass classification with overparameterized linear models

    David Wu, Anant Sahai p42576-42622 from Advances in Neural Information Processing Systems 36
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  • Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

    Chiraag Kaushik, Justin Romberg, Vidya Muthukumar p123755-123786 from Advances in Neural Information Processing Systems 37
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  • Precise Learning Curves and Higher-Order Scalings for Dot-Product Kernel Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precise Learning Curves and Higher-Order Scalings for Dot-Product Kernel Regression

    Lechao Xiao, Hong Hu, Theodor Misiakiewicz, Yue Lu, Jeffrey Pennington p4558-4570 from Advances in Neural Information Processing Systems 35
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  • Precise Regret Bounds for Log-Loss Via a Truncated Bayesian Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precise Regret Bounds for Log-Loss Via a Truncated Bayesian Algorithm

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski p26903-26914 from Advances in Neural Information Processing Systems 35
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  • Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows

    Alexandre Verine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre p32539-32573 from Advances in Neural Information Processing Systems 36
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  • Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent

    Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng p76202-76213 from Advances in Neural Information Processing Systems 36
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  • PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds

    Hao Yang, Haiyang Wang, Di Dai, Liwei Wang p46041-46053 from Advances in Neural Information Processing Systems 36
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  • Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

    Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang (Bernie) Wang p28341-28364 from Advances in Neural Information Processing Systems 36
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  • Predict-then-Calibrate: A New Perspective of Robust Contextual LP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predict-then-Calibrate: A New Perspective of Robust Contextual LP

    Chunlin Sun, Linyu Liu, Xiaocheng Li p17713-17741 from Advances in Neural Information Processing Systems 36
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  • Predicting a Protein's Stability under a Million Mutations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting a Protein's Stability under a Million Mutations

    Jeffrey Ouyang-Zhang, Daniel Diaz, Adam Klivans, Philipp Kraehenbuehl p76229-76247 from Advances in Neural Information Processing Systems 36
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  • Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

    Leon Hetzel, Simon Boehm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian Theis p26711-26722 from Advances in Neural Information Processing Systems 35
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  • Predicting Future Actions of Reinforcement Learning Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Future Actions of Reinforcement Learning Agents

    Stephen Chung, Scott Niekum, David Krueger p50876-50897 from Advances in Neural Information Processing Systems 37
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  • Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

    Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King p10909-10921 from Advances in Neural Information Processing Systems 36
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  • Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

    Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu p33962-34024 from Advances in Neural Information Processing Systems 37
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  • Predicting Label Distribution from Multi-Label Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Label Distribution from Multi-Label Ranking

    Yunan Lu, Xiuyi Jia p36931-36943 from Advances in Neural Information Processing Systems 35
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  • Predicting Label Distribution from Ternary Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Predicting Label Distribution from Ternary Labels

    Yunan Lu, Xiuyi Jia p70431-70452 from Advances in Neural Information Processing Systems 37
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