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

    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

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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

    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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  • $\epsilon$-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

    Xiangyang Ji, Junjun Jiang, Xianming Liu, Jialiang Wang, Deming Zhai, Xiong Zhou 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

    Yinpeng Chen, Chengyuan Deng, Shihang Feng, Yinan Feng, Peng Jin, Youzuo Lin, Yanhua Liu, Hanchen Wang, Min Zhu 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

    Yekun Chai, Jiamin Chen, Mengnan Du, Himabindu Lakkaraju, Xuhong Li, 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

    Anton Alekseev, Anton Ber, Artur Kadurin, Kuzma Khrabrov, Sergey Nikolenko, Dmitry Protasov, Egor Rumiantsev, Ilya Shenbin, Mikhail Shirokikh, Alexander Telepov, Artem Tsypin, Elena Tutubalina, Konstantin Ushenin 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

    Eugene Belilovsky, Adel Nabli, 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"

    Tao Chen, Xili Dai, Kaixiong Gong, Lingxiao Li, Weihong Li, 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

    Tingting Dan, Jiaqi Ding, Ziquan Wei, 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

    Aditya Akella, Babak Bejnordi, Ruisi Cai, Geon-Woo Kim, Yeonju Ro, Peihao Wang, 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

    Diego Antognini, David Cox, Rogerio Feris, Soumya Ghosh, Leonid Karlinsky, Aude Oliva, Runqian Wang 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

    Yu Cheng, Juntao Li, Yanshu Li, Xiaoye Qu, Zhaochen Su, Jiashuo Sun, Jun Zhang, Min Zhang, Tong Zhu p103242-103268 from Advances in Neural Information Processing Systems 37
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  • $\texttt{dattri}$: A Library for Efficient Data Attribution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\texttt{dattri}$: A Library for Efficient Data Attribution

    Junwei Deng, Pingbang Hu, Hao Huang, Ting-Wei Li, Shixuan Liu, Yijun Pan, Jiaqi W., Xinhe Wang, Shiyuan Zhang, Xingjian Zhang p136763-136781 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

    Ruisi Cai, Beidi Chen, Li Chen, Tianlong Chen, Yexiao He, Ang Li, Pingzhi Li, Yi Liang, Guoheng Sun, Bowen Tan, Hongyi Wang, Peihao Wang, Zhangyang Wang, Binhang Yuan, Xinyu Zhao, Yukun Zhou 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

    Áine Cahill, Yi Sheng Chan, Mona Chitnis, Xiaojun Feng, Filip Granqvist, Vojta Jina, Natarajan Krishnaswami, Martin Pelikan, Congzheng Song, Rogier van Dalen p43403-43434 from Advances in Neural Information Processing Systems 37
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