Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach

    Haitong Ma, Haoran Yu, Haobo Fu, Shuai Li p44691-44717 from Advances in Neural Information Processing Systems 38
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  • Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

    Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu p928-940 from Advances in Neural Information Processing Systems 35
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  • Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong p18582-18612 from Advances in Neural Information Processing Systems 36
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  • Learning Provably Improves the Convergence of Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Provably Improves the Convergence of Gradient Descent

    Qingyu Song, Wei Lin, Hong Xu p40961-41015 from Advances in Neural Information Processing Systems 38
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  • Learning Provably Robust Estimators for Inverse Problems via Jittering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Provably Robust Estimators for Inverse Problems via Jittering

    Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel p57276-57305 from Advances in Neural Information Processing Systems 36
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  • Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws

    Gerard Ben Arous, Murat Erdogdu, Nuri Mert Vural, Denny Wu p162874-162961 from Advances in Neural Information Processing Systems 38
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  • Learning Rate Free Sampling in Constrained Domains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Rate Free Sampling in Constrained Domains

    Louis Sharrock, Lester Mackey, Christopher Nemeth p65380-65415 from Advances in Neural Information Processing Systems 36
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  • Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

    Xiaotong Luo, Yuan Xie, Yanyun Qu p42396-42408 from Advances in Neural Information Processing Systems 36
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  • Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

    Duong Nguyen, Nghia Hoang, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Phi Le Nguyen p32613-32650 from Advances in Neural Information Processing Systems 38
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  • Learning Recourse on Instance Environment to Enhance Prediction Accuracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Recourse on Instance Environment to Enhance Prediction Accuracy

    Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi p25504-25516 from Advances in Neural Information Processing Systems 35
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  • Learning Regularized Monotone Graphon Mean-Field Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Regularized Monotone Graphon Mean-Field Games

    Fengzhuo Zhang, Vincent Tan, Zhaoran Wang, Zhuoran Yang p67297-67308 from Advances in Neural Information Processing Systems 36
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  • Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics

    Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima p96393-96414 from Advances in Neural Information Processing Systems 38
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  • Learning Reliable Logical Rules with SATNet

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Reliable Logical Rules with SATNet

    Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si p14837-14847 from Advances in Neural Information Processing Systems 36
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  • Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer

    Jianwei Zhang, Suren Jayasuriya, Visar Berisha p76425-76443 from Advances in Neural Information Processing Systems 36
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  • Learning Repetition-Invariant Representations for Polymer Informatics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Repetition-Invariant Representations for Polymer Informatics

    Yihan Zhu, Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang p98293-98312 from Advances in Neural Information Processing Systems 38
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  • Learning Representations for Hierarchies with Minimal Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations for Hierarchies with Minimal Support

    Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum p5586-5614 from Advances in Neural Information Processing Systems 37
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  • Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning

    Jianda Chen, Sinno Pan p36654-36666 from Advances in Neural Information Processing Systems 35
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  • Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey Allen, William Whitney, Kimberly Stachenfeld, Tobias Pfaff p125809-125838 from Advances in Neural Information Processing Systems 37
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  • Learning Robust Dynamics Through Variational Sparse Gating

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Robust Dynamics Through Variational Sparse Gating

    Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou p1612-1626 from Advances in Neural Information Processing Systems 35
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  • Learning Robust Rule Representations for Abstract Reasoning Via Internal Inferences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Robust Rule Representations for Abstract Reasoning Via Internal Inferences

    Wenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song p33550-33562 from Advances in Neural Information Processing Systems 35
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  • Learning Robust Spectral Dynamics for Temporal Domain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Robust Spectral Dynamics for Temporal Domain Generalization

    En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang p165134-165160 from Advances in Neural Information Processing Systems 38
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  • Learning Robust Statistics for Simulation-based Inference under Model Misspecification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Robust Statistics for Simulation-based Inference under Model Misspecification

    Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski p7289-7310 from Advances in Neural Information Processing Systems 36
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  • Learning Robust Vision-Language Models from Natural Latent Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Robust Vision-Language Models from Natural Latent Spaces

    Zhangyun Wang, Ni Ding, Aniket Mahanti p175108-175136 from Advances in Neural Information Processing Systems 38
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  • Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

    Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen p3517-3535 from Advances in Neural Information Processing Systems 36
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