Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • $E^3$: 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

    Wang Lin, Yueying Feng, Wenkang Han, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen 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

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    $k$-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

    Xiaotong Yuan, Ping Li 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

    Yesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang 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

    Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern Eskofier 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

    Yinshuang Xu, Jiahui Lei, Kostas Daniilidis 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

    Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini 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

    Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei 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 $\beta$

    Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He 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

    Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara p38888-38959 from Advances in Neural Information Processing Systems 37
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  • $\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

    Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu p32012-32038 from Advances in Neural Information Processing Systems 37
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  • $\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

    Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin p23701-23713 from Advances in Neural Information Processing Systems 36
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  • $\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models

    Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong p1630-1643 from Advances in Neural Information Processing Systems 36
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  • $\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

    Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey Nikolenko, Elena Tutubalina, Artur Kadurin p36869-36889 from Advances in Neural Information Processing Systems 37
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  • $\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning

    Adel Nabli, Eugene Belilovsky, Edouard Oyallon p47451-47474 from Advances in Neural Information Processing Systems 36
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  • $\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions"

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions"

    Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue p129480-129506 from Advances in Neural Information Processing Systems 37
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  • $\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

    Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu p67826-67849 from Advances in Neural Information Processing Systems 37
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  • $\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design

    Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Bejnordi, Aditya Akella, Zhangyang Wang p116126-116148 from Advances in Neural Information Processing Systems 37
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  • $\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning

    Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky p61217-61237 from Advances in Neural Information Processing Systems 37
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  • $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs

    Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng p103242-103268 from Advances in Neural Information Processing Systems 37
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  • $\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild

    Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen p13349-13371 from Advances in Neural Information Processing Systems 37
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  • $\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning

    Filip Granqvist, Congzheng Song, Áine Cahill, Rogier Van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis p43403-43434 from Advances in Neural Information Processing Systems 37
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  • $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

    Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang p48203-48225 from Advances in Neural Information Processing Systems 36
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