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

    Chenjia Bai, Haoran He, Xuelong Li, Ling Pan, Weinan Zhang, Bin Zhao 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

    Jie Cheng, Zhikun Chu, Qinghai Guo, Bo Ho, Yuanyuan Mi, Si Wu, Xiaolong Zou 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

    Jason Lee, Yunwei Ren, Zixuan Wang 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, N M Anoop Krishnan, Sayan Ranu 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

    Narendra Ahuja, Moitreya Chatterjee, 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

    Fei Chao, Rongrong Ji, Ke Li, Mingbao Lin, Zhihang Lin, Yiting Luo, Yongjian Wu, Yuxin Zhang 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

    Bernd Finkbeiner, Mohamed Ghanem, Frederik Schmitt, Julian Siber 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

    Jonathan Cornford, Arna Ghosh, Pingsheng Li, 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

    Lu Li, Guozheng Ma, Li Shen, Dacheng Tao, Haoyu Wang, Xueqian Wang, Zhen Wang, Zilin Wang, Linrui Zhang 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 , Daniel Palomar, Jiaxi Ying p14044-14057 from Advances in Neural Information Processing Systems 35
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