Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Information Retrieval Induced Safety Degradation in AI Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Retrieval Induced Safety Degradation in AI Agents

    Cheng Yu, Benedikt Stroebl, Diyi Yang, Orestis Papakyriakopoulos p69863-69895 from Advances in Neural Information Processing Systems 38
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  • Information Theoretic Learning for Diffusion Models with Warm Start

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Theoretic Learning for Diffusion Models with Warm Start

    Yirong Shen, Lu GAN, Cong Ling p43341-43392 from Advances in Neural Information Processing Systems 38
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  • Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

    Roi Livni p37716-37727 from Advances in Neural Information Processing Systems 36
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  • Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination

    Ilias Diakonikolas, Chao Gao, Daniel Kane, John Lafferty, Ankit Pensia p119676-119713 from Advances in Neural Information Processing Systems 38
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  • Information-Driven Design of Imaging Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Driven Design of Imaging Systems

    Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller p109153-109234 from Advances in Neural Information Processing Systems 38
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  • Information-guided Planning: An Online Approach for Partially Observable Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-guided Planning: An Online Approach for Partially Observable Problems

    Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino p69157-69177 from Advances in Neural Information Processing Systems 36
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  • Information-Theoretic Discrete Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic Discrete Diffusion

    Moongyu Jeon, Sangwoo Shin, Dongjae Jeon, Albert No p20913-20939 from Advances in Neural Information Processing Systems 38
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  • Information-Theoretic GAN Compression with Variational Energy-Based Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic GAN Compression with Variational Energy-Based Model

    Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong Euk Lee, Bohyung Han p18241-18255 from Advances in Neural Information Processing Systems 35
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  • Information-theoretic Generalization Analysis for Expected Calibration Error

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-theoretic Generalization Analysis for Expected Calibration Error

    Futoshi Futami, Masahiro Fujisawa p84246-84297 from Advances in Neural Information Processing Systems 37
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  • Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables

    Futoshi Futami, Masahiro Fujisawa p55369-55420 from Advances in Neural Information Processing Systems 38
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  • Information-theoretic Limits of Online Classification with Noisy Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-theoretic Limits of Online Classification with Noisy Labels

    Changlong Wu, Ananth Grama, Wojciech Szpankowski p113937-113962 from Advances in Neural Information Processing Systems 37
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  • Information-Theoretic Reward Decomposition for Generalizable RLHF

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic Reward Decomposition for Generalizable RLHF

    Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai p153987-154020 from Advances in Neural Information Processing Systems 38
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  • Information-Theoretic Safe Exploration with Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic Safe Exploration with Gaussian Processes

    Alessandro Bottero, Carlos Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters p30707-30719 from Advances in Neural Information Processing Systems 35
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  • Informed Correctors for Discrete Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Informed Correctors for Discrete Diffusion Models

    Yixiu Zhao, Jiaxin Shi, Feng Chen, Shaul Druckmann, Lester Mackey, Scott Linderman p139126-139154 from Advances in Neural Information Processing Systems 38
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  • Informed Initialization for Bayesian Optimization and Active Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Informed Initialization for Bayesian Optimization and Active Learning

    Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat p76298-76325 from Advances in Neural Information Processing Systems 38
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  • Infrequent Exploration in Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infrequent Exploration in Linear Bandits

    Harin Lee, Min-hwan Oh p84055-84089 from Advances in Neural Information Processing Systems 38
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  • Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

    Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao p89652-89681 from Advances in Neural Information Processing Systems 37
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  • Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

    Sagi Eppel, Jolina Li, Manuel Drehwald, Alan Aspuru-Guzik p60237-60259 from Advances in Neural Information Processing Systems 37
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  • Inherently Explainable Reinforcement Learning in Natural Language

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inherently Explainable Reinforcement Learning in Natural Language

    Xiangyu Peng, Mark Riedl, Prithviraj Ammanabrolu p16178-16190 from Advances in Neural Information Processing Systems 35
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  • Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

    Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang, Yaoyu Zhang, Zhi-Qin Xu p14093-14126 from Advances in Neural Information Processing Systems 37
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  • Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks

    Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher p5419-5446 from Advances in Neural Information Processing Systems 36
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  • Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks

    Roey Magen, Ohad Shamir p7632-7658 from Advances in Neural Information Processing Systems 36
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  • Initializing Services in Interactive ML Systems for Diverse Users

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Initializing Services in Interactive ML Systems for Diverse Users

    Avinandan Bose, Mihaela Curmei, Daniel Jiang, Jamie Morgenstern, Sarah Dean, Lillian Ratliff, Maryam Fazel p57701-57732 from Advances in Neural Information Processing Systems 37
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  • Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

    Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng p43341-43366 from Advances in Neural Information Processing Systems 37
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