Paper

  • Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

    Tommaso Biancalani, Gokcen Eraslan, Ehsan Hajiramezanali, Avantika Lal, Sergey Levine, Gabriele Scalia, Masatoshi Uehara, Yulai Zhao p127511-127535 from Advances in Neural Information Processing Systems 37
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  • Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift

    Peng Cui, Jiashuo Liu, Jiayun Wu, Zhiwei Wu p73036-73078 from Advances in Neural Information Processing Systems 37
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  • Bridging OOD Detection and Generalization: A Graph-Theoretic View

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging OOD Detection and Generalization: A Graph-Theoretic View

    Yixuan Li, Han Wang p35049-35083 from Advances in Neural Information Processing Systems 37
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  • Bridging RL Theory and Practice with the Effective Horizon

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging RL Theory and Practice with the Effective Horizon

    Anca Dragan, Cassidy Laidlaw, Stuart J Russell p58953-59007 from Advances in Neural Information Processing Systems 36
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  • Bridging semantics and pragmatics in information-theoretic emergent communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging semantics and pragmatics in information-theoretic emergent communication

    Eleonora Gualdoni, Roger Levy, Mycal Tucker, Noga Zaslavsky p21059-21078 from Advances in Neural Information Processing Systems 37
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  • Bridging the Divide: Reconsidering Softmax and Linear Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Divide: Reconsidering Softmax and Linear Attention

    Dongchen Han, Yizeng Han, Gao Huang, Xiu Li, Jiwen Lu, Xuran Pan, Yifan Pu, Shiji Song, Zhuofan Xia p79221-79245 from Advances in Neural Information Processing Systems 37
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  • Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

    Zhimin Chen, Longlong Jing, Bing Li, Yingwei Li p79226-79239 from Advances in Neural Information Processing Systems 36
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  • Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation

    Haotian Liu, Hongteng Xu, Shen Yuan p113484-113518 from Advances in Neural Information Processing Systems 37
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  • Bridging the Gap Between Object and Image-Level Representations for Open-Vocabulary Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Gap Between Object and Image-Level Representations for Open-Vocabulary Detection

    Hanoona Rasheed, Salman Khan, Muhammad Uzair Khattak, Muhammad Maaz, Fahad Shahbaz Khan p33781-33794 from Advances in Neural Information Processing Systems 35
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  • Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets

    Chuanbin Liu, Zhiying Lu, Hongtao Xie, Yongdong Zhang p14663-14677 from Advances in Neural Information Processing Systems 35
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  • Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-Contrastive Self-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-Contrastive Self-Supervised Learning

    Kang-Jun Liu, Takayuki Okatani, Masanori Suganuma p19824-19835 from Advances in Neural Information Processing Systems 35
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  • Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers

    Kate Candon, Deyuan Li, Yofti Milkessa, Nathan Tsoi, Marynel Vázquez p23121-23134 from Advances in Neural Information Processing Systems 35
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