Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

    Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, 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

    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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  • $i$MIND: Insightful Multi-subject Invariant Neural Decoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $i$MIND: Insightful Multi-subject Invariant Neural Decoding

    Zixiang Yin, Jiarui Li, Zhengming Ding p165161-165203 from Advances in Neural Information Processing Systems 38
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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

    Xiaotong Yuan, Ping Li p78580-78592 from Advances in Neural Information Processing Systems 36
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  • $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

    Rahul Vaze, Abhishek Sinha p68505-68532 from Advances in Neural Information Processing Systems 38
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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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  • $Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

    Jin Zhou, Kaiwen Wang, Jonathan Chang, Zhaolin Gao, Nathan Kallus, Kilian Weinberger, Kianté Brantley, Wen Sun p36997-37033 from Advances in Neural Information Processing Systems 38
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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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  • $\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

    Simone Ricci, Niccolò Biondi, Federico Pernici, Ioannis Patras, Alberto Del Bimbo p32841-32868 from Advances in Neural Information Processing Systems 38
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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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  • $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

    Lin Zhu, Yifeng Yang, Xinbing Wang, Qinying Gu, Nanyang Ye p89159-89192 from Advances in Neural Information Processing Systems 38
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  • $\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

    Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug p34457-34480 from Advances in Neural Information Processing Systems 38
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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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  • $\mu$PC: Scaling Predictive Coding to 100+ Layer Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\mu$PC: Scaling Predictive Coding to 100+ Layer Networks

    Francesco Innocenti, El Mehdi Achour, Christopher L Buckley p97123-97164 from Advances in Neural Information Processing Systems 38
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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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  • $\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    $\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

    Taehoon Yoon, Yunhong Min, Kyeongmin Yeo, Minhyuk Sung p115985-116021 from Advances in Neural Information Processing Systems 38
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