Paper

  • $C^2M^3$: Cycle-Consistent Multi-Model Merging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $C^2M^3$: Cycle-Consistent Multi-Model Merging

    Daniele Baieri, Florian Bernard, Donato Crisostomi, Marco Fumero, Emanuele Rodolà p28674-28705 from Advances in Neural Information Processing Systems 37
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  • $E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset

    Jingyuan Chen, Yueying Feng, Wenkang Han, Tao Jin, Wang Lin, Fei Wu, Chang Yao, Zhou Zhao p118182-118197 from Advances in Neural Information Processing Systems 37
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  • $H$-Consistency Bounds: Characterization and Extensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $H$-Consistency Bounds: Characterization and Extensions

    Anqi Mao, Mehryar Mohri, Yutao Zhong p4470-4508 from Advances in Neural Information Processing Systems 36
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  • $k$-Means Clustering with Distance-Based Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $k$-Means Clustering with Distance-Based Privacy

    Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong p19570-19593 from Advances in Neural Information Processing Systems 36
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  • $L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting

    Ping Li, Xiaotong Yuan p78580-78592 from Advances in Neural Information Processing Systems 36
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  • $p$-Poisson surface reconstruction in curl-free flow from point clouds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $p$-Poisson surface reconstruction in curl-free flow from point clouds

    Jooyoung Hahn, Myungjoo Kang, Taekyung Lee, Yesom Park p60077-60098 from Advances in Neural Information Processing Systems 36
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  • $p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison

    Thomas Altstidl, Bjoern Eskofier, Kai Klede, Dario Zanca p27113-27128 from Advances in Neural Information Processing Systems 36
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  • $SE(3)$ Equivariant Convolution and Transformer in Ray Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $SE(3)$ Equivariant Convolution and Transformer in Ray Space

    Kostas Daniilidis, Jiahui Lei, Yinshuang Xu p2463-2510 from Advances in Neural Information Processing Systems 36
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  • $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation

    Rares Ambrus, Dian Chen, Kostas Daniilidis, Vitor Guizilini, Katherine Liu, Yinshuang Xu, Sergey Zakharov p13627-13659 from Advances in Neural Information Processing Systems 37
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  • $S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput

    David Brooks, Yunho Jin, Gu-Yeon Wei, Chun-Feng Wu p18015-18027 from Advances in Neural Information Processing Systems 36
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  • $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

    Bolin Ding, Jinyang Gao, Xiangnan He, Xiang Wang, Jiancan Wu, Junkang Wu, Yuexiang Xie, Zhengyi Yang p129944-129966 from Advances in Neural Information Processing Systems 37
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  • $\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

    Volkan Cevher, Leena Chennuru Vankadara, Moritz Haas, Jin Xu p38888-38959 from Advances in Neural Information Processing Systems 37
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