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  • Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

    Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens p12332-12348 from Advances in Neural Information Processing Systems 36
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  • CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions

    Sk Ahmed, Fahim Niloy, Xiangyu Chang, Dripta Raychaudhuri, Samet Oymak, Amit Roy-Chowdhury p130887-130919 from Advances in Neural Information Processing Systems 37
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  • Contrasting Mesoscale Convective System Features among Distinct Spatial Types of Rainstorms in the Western Sichuan Basin

    Aussino Academic Publishing House (AAPH)

    Contrasting Mesoscale Convective System Features among Distinct Spatial Types of Rainstorms in the Western Sichuan Basin

    ZHANG Yuehan, ZHUANG Yuan p1428-1443 from 13th Academic Conference of Geology Resource Management and Sustainable Development (GRMSD 2025)
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  • Contrasting the Rheology of Particle Reinforced Rubbers Versus Particle Reinforced Newtonian Fluids

    Rubber Division - American Chemical Society (ACS)

    Contrasting the Rheology of Particle Reinforced Rubbers Versus Particle Reinforced Newtonian Fluids

    James Kollar, Lewis B. Tunnicliffe p514-538 from 200th Fall Technical Meeting of the Rubber Division, American Chemical Society 2021
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  • Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

    Adriel Saporta, Aahlad Puli, Mark Goldstein, Rajesh Ranganath p56919-56957 from Advances in Neural Information Processing Systems 37
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  • Contrastive Adapters for Foundation Model Group Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Adapters for Foundation Model Group Robustness

    Michael Zhang, Christopher Ré p21682-21697 from Advances in Neural Information Processing Systems 35
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  • Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

    Randall Balestriero, Yann Lecun p26671-26685 from Advances in Neural Information Processing Systems 35
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  • Contrastive dimension reduction: when and how?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive dimension reduction: when and how?

    Sam Hawke, Yueen Ma, Didong Li p74034-74057 from Advances in Neural Information Processing Systems 37
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  • Contrastive Graph Structure Learning Via Information Bottleneck for Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Graph Structure Learning Via Information Bottleneck for Recommendation

    Chunyu Wei, Jian Liang, Di Liu, Fei Wang p20407-20420 from Advances in Neural Information Processing Systems 35
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  • Contrastive Intrinsic Control for Unsupervised Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Intrinsic Control for Unsupervised Reinforcement Learning

    Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel p34478-34491 from Advances in Neural Information Processing Systems 35
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  • Contrastive Language-Image Pre-Training with Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Language-Image Pre-Training with Knowledge Graphs

    Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang p22895-22910 from Advances in Neural Information Processing Systems 35
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  • Contrastive Learning as Goal-Conditioned Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Learning as Goal-Conditioned Reinforcement Learning

    Benjamin Eysenbach, Tianjun Zhang, Sergey Levine, Russ Salakhutdinov p35603-35620 from Advances in Neural Information Processing Systems 35
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