Paper

  • Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

    Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li p31124-31153 from Advances in Neural Information Processing Systems 37
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  • Learning and Collusion in Multi-unit Auctions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Collusion in Multi-unit Auctions

    Simina Branzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han p22191-22225 from Advances in Neural Information Processing Systems 36
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  • Learning and Covering Sums of Independent Random Variables with Unbounded Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Covering Sums of Independent Random Variables with Unbounded Support

    Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis p25185-25197 from Advances in Neural Information Processing Systems 35
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  • Learning and processing the ordinal information of temporal sequences in recurrent neural circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and processing the ordinal information of temporal sequences in recurrent neural circuits

    Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi p33999-34020 from Advances in Neural Information Processing Systems 36
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  • Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

    Yunwei Ren, Zixuan Wang, Jason Lee p20304-20357 from Advances in Neural Information Processing Systems 37
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  • Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

    Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan p29789-29800 from Advances in Neural Information Processing Systems 35
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  • Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

    Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian p16975-16988 from Advances in Neural Information Processing Systems 35
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  • Learning Best Combination for Efficient N:M Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Best Combination for Efficient N:M Sparsity

    Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji p941-953 from Advances in Neural Information Processing Systems 35
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  • Learning Better Representations From Less Data For Propositional Satisfiability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Better Representations From Less Data For Propositional Satisfiability

    Mohamed Ghanem, Frederik Schmitt, Julian Siber, Bernd Finkbeiner p48347-48370 from Advances in Neural Information Processing Systems 37
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  • Learning better with Dale’s Law: A Spectral Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning better with Dale’s Law: A Spectral Perspective

    Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake Richards p944-956 from Advances in Neural Information Processing Systems 36
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  • Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning

    Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao p59832-59859 from Advances in Neural Information Processing Systems 36
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  • Learning Bipartite Graphs: Heavy Tails and Multiple Components

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Bipartite Graphs: Heavy Tails and Multiple Components

    José Vinícius De Miranda Cardoso, Jiaxi Ying, Daniel Palomar p14044-14057 from Advances in Neural Information Processing Systems 35
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