Paper

  • 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 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 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 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 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 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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