Paper

  • Learning Diffusion Priors from Observations by Expectation Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Diffusion Priors from Observations by Expectation Maximization

    Gérôme Andry, François Lanusse, Gilles Louppe, François Rozet p87647-87682 from Advances in Neural Information Processing Systems 37
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  • Learning Discrete Concepts in Latent Hierarchical Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Discrete Concepts in Latent Hierarchical Models

    Guangyi Chen, Yuejie Chi, Biwei Huang, Lingjing Kong, Eric Xing, Kun Zhang p36938-36975 from Advances in Neural Information Processing Systems 37
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  • Learning Discrete Latent Variable Structures with Tensor Rank Conditions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Discrete Latent Variable Structures with Tensor Rank Conditions

    Ruichu Cai, Zhengming Chen, Zhifeng Hao, Zijian Li, Jie Qiao, Anpeng Wu, Feng Xie, Kun Zhang p17398-17427 from Advances in Neural Information Processing Systems 37
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  • Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization

    Yipeng Liu, Ziyu Shan, Yiling Xu, Yujie Zhang p84060-84080 from Advances in Neural Information Processing Systems 37
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  • Learning Distinct and Representative Modes for Image Captioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Distinct and Representative Modes for Image Captioning

    Qi Chen, Chaorui Deng, Qi Wu p9472-9485 from Advances in Neural Information Processing Systems 35
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  • Learning Distinguishable Trajectory Representation with Contrastive Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Distinguishable Trajectory Representation with Contrastive Loss

    Juan Li, Tianxu Li, Yang Zhang, Kun Zhu p64454-64478 from Advances in Neural Information Processing Systems 37
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  • Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game

    Zihan Ding, Zhiyuan Yao p28815-28828 from Advances in Neural Information Processing Systems 35
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  • Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers

    Saikiran Bulusu, M. Cenk Gursoy, Geethu Joseph, Pramod Varshney p10959-10969 from Advances in Neural Information Processing Systems 35
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  • Learning Distributions on Manifolds with Free-Form Flows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Distributions on Manifolds with Free-Form Flows

    Felix Draxler, Sander Hummerich, Ullrich Köthe, Armand Rousselot, Peter Sorrenson p66961-66994 from Advances in Neural Information Processing Systems 37
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  • Learning diverse causally emergent representations from time series data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning diverse causally emergent representations from time series data

    Christos Kaplanis, David McSharry, Pedro Mediano, Fernando Rosas p119547-119572 from Advances in Neural Information Processing Systems 37
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  • Learning Domain-Aware Detection Head with Prompt Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Domain-Aware Detection Head with Prompt Tuning

    Yunji Chen, Yifan Hao, Ling Li, Haochen Li, Xinkai Song, Hantao Yao, Rui Zhang, Yongwei Zhao p4248-4262 from Advances in Neural Information Processing Systems 36
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  • Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning

    Fan Feng, Sara Magliacane p19117-19144 from Advances in Neural Information Processing Systems 36
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