Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

    Enhong Chen, Defu Lian, Hao Wang, Wenjia Xie, Luankang Zhang, Rui Zhou p22720-22744 from Advances in Neural Information Processing Systems 37
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  • Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts

    Song Lai, Fanfu Wang, Pengkun Wang, Yang Wang, Zikang Wang, Haibin Wen, Qingfu Zhang, Zhe Zhao p7493-7520 from Advances in Neural Information Processing Systems 37
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  • Breaking Semantic Artifacts for Generalized AI-generated Image Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Semantic Artifacts for Generalized AI-generated Image Detection

    Xu Guo, Chenhao Lin, Shuai Liu, Chao Shen, Hang Wang, Zhengyu Zhao, Chende Zheng p59570-59596 from Advances in Neural Information Processing Systems 37
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  • Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy

    Huaiyu Dai, Richeng Jin, Tony Quek, Zhonggen Su, Zhaoyang Zhang, Caijun Zhong p74103-74126 from Advances in Neural Information Processing Systems 36
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  • Breaking the curse of dimensionality in structured density estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking the curse of dimensionality in structured density estimation

    Bryon Aragam, Wai Ming Tai, Robert A. Vandermeulen p65852-65883 from Advances in Neural Information Processing Systems 37
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  • Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

    Siyuan Liang, Baoyuan Wu, Mingli Zhu p114928-114964 from Advances in Neural Information Processing Systems 37
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  • BricksRL: A Platform for Democratizing Robotics and  Reinforcement Learning Research and Education with LEGO

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

    Gianni De Fabritiis, Sebastian Dittert, Vincent Moens p75199-75228 from Advances in Neural Information Processing Systems 37
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  • Bridge the Gap Between Architecture Spaces Via a Cross-Domain Predictor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridge the Gap Between Architecture Spaces Via a Cross-Domain Predictor

    Yuqiao Liu, Zeqiong Lv, Yanan Sun, Yehui Tang, Yunhe Wang p13355-13366 from Advances in Neural Information Processing Systems 35
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  • Bridge the Modality and Capability Gaps in Vision-Language Model Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridge the Modality and Capability Gaps in Vision-Language Model Selection

    Yu-Hang He, Han-Jia Ye, Chao Yi, De-Chuan Zhan p34429-34452 from Advances in Neural Information Processing Systems 37
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  • Bridge the Points: Graph-based Few-shot Segment Anything Semantically

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridge the Points: Graph-based Few-shot Segment Anything Semantically

    Guangyu Gao, Jianbo Jiao, Chi Liu, Yunchao Wei, Anqi Zhang p33232-33261 from Advances in Neural Information Processing Systems 37
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  • Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

    Mingyang Li, Qiuyi Li, Zheng Wang, Jialu Wu, Jian Wu, Wei Wu, Jiahuan Yan, Jieping Ye, Mingze Yin, Yiheng Zhu p39901-39922 from Advances in Neural Information Processing Systems 37
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  • Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms

    Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman Ozdaglar p21628-21639 from Advances in Neural Information Processing Systems 35
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  • Bridging Discrete and Backpropagation: Straight-Through and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Discrete and Backpropagation: Straight-Through and Beyond

    Chengyu Dong, Jianfeng Gao, Liyuan Liu, Xiaodong Liu, Bin Yu p12291-12311 from Advances in Neural Information Processing Systems 36
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  • Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views

    Xinyue Chen, Fangfei Lin, Xiaorong Pu, Yazhou Ren, Jie Xu, Yang Yang p37020-37049 from Advances in Neural Information Processing Systems 37
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  • Bridging Geometric States via Geometric Diffusion Bridge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bridging Geometric States via Geometric Diffusion Bridge

    Di He, Tie-Yan Liu, Shengjie Luo, Liwei Wang, Yixian Xu, Shuxin Zheng p109283-109322 from Advances in Neural Information Processing Systems 37
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  • 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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