Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers

    Kazuki Irie, Francesca Mignacco, Haim Sompolinsky, Lorenzo Tiberi p72710-72753 from Advances in Neural Information Processing Systems 37
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  • DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features

    Sanja Fidler, Boris Ivanovic, Peter Karkus, Seung Wook Kim, Marco Pavone, Letian Wang, Yue Wang, Steven Waslander, Jiawei Yang, Cunjun Yu p62334-62361 from Advances in Neural Information Processing Systems 37
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  • Distributed Least Squares in Small Space via Sketching and Bias Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Least Squares in Small Space via Sketching and Bias Reduction

    Michał Dereziński, Sachin Garg, Kevin Tan p73745-73782 from Advances in Neural Information Processing Systems 37
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  • Distributed-Order Fractional Graph Operating Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed-Order Fractional Graph Operating Network

    Qinxu Ding, Feng Ji, Qiyu Kang, Xuhao Li, Wenfei Liang, Wee Peng Tay, Kai Zhao, Yanan Zhao p103442-103475 from Advances in Neural Information Processing Systems 37
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  • Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

    Wei Gao, Ge Li, Shan Liu, Zhiyi Pan p32400-32420 from Advances in Neural Information Processing Systems 37
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  • Distribution Learning with Valid Outputs Beyond the Worst-Case

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution Learning with Valid Outputs Beyond the Worst-Case

    Kamalika Chaudhuri, Nick Rittler p22850-22877 from Advances in Neural Information Processing Systems 37
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  • Distribution-Aware Data Expansion with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Aware Data Expansion with Diffusion Models

    Jiawei Jiang, Bin Wang, Meng Xiao, Ling Yang, Hongzhi Yin, Jun-Hai Yong, Wentao Zhang, Haowei Zhu p102768-102795 from Advances in Neural Information Processing Systems 37
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  • Distributional Preference Alignment of LLMs via Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Preference Alignment of LLMs via Optimal Transport

    Brian Belgodere, Kristjan Greenewald, Igor Melnyk, Youssef Mroueh, Jiri Navratil, Apoorva Nitsure, Mattia Rigotti, Jarret Ross, Mikhail Yurochkin p104412-104442 from Advances in Neural Information Processing Systems 37
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  • Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

    Clément Dombry, Ahmed Zaoui p32678-32704 from Advances in Neural Information Processing Systems 37
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  • Distributional Reinforcement Learning with Regularized Wasserstein Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Reinforcement Learning with Regularized Wasserstein Loss

    Bei Jiang, Linglong Kong, Wulong Liu, Ke Sun, Yingnan Zhao p63184-63221 from Advances in Neural Information Processing Systems 37
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  • Distributional Successor Features Enable Zero-Shot Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Successor Features Enable Zero-Shot Policy Optimization

    Simon Du, Abhishek Gupta, Tyler Han, Xinqi Wang, Chuning Zhu p124612-124639 from Advances in Neural Information Processing Systems 37
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  • Distributionally Robust Performative Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Performative Prediction

    Yuekai Sun, Songkai Xue p55030-55052 from Advances in Neural Information Processing Systems 37
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  • Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

    Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong p12528-12580 from Advances in Neural Information Processing Systems 37
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  • DistrictNet: Decision-aware learning for geographical districting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DistrictNet: Decision-aware learning for geographical districting

    Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal p128574-128602 from Advances in Neural Information Processing Systems 37
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  • DiTFastAttn: Attention Compression for Diffusion Transformer Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DiTFastAttn: Attention Compression for Diffusion Transformer Models

    Guohao Dai, Pu Lu, Xuefei Ning, Yu Wang, Shengen Yan, Zhihang Yuan, Hanling Zhang, Linfeng Zhang, Tianchen Zhao p1196-1219 from Advances in Neural Information Processing Systems 37
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  • Divergences between Language Models and Human Brains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Divergences between Language Models and Human Brains

    Emmy Liu, Graham Neubig, Michael Tarr, Leila Wehbe, Yuchen Zhou p137999-138031 from Advances in Neural Information Processing Systems 37
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  • Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

    Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh p45956-45974 from Advances in Neural Information Processing Systems 37
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  • Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners

    Rujikorn Charakorn, Nat Dilokthanakul, Poramate Manoonpong p56401-56423 from Advances in Neural Information Processing Systems 37
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  • Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment

    Jiawei Du, Juncheng Hu, Wenxing Huang, Xin Zhang, Joey Zhou p119443-119465 from Advances in Neural Information Processing Systems 37
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  • Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

    Jingchang Chen, Qianglong Chen, Zheng Chu, Ming Liu, Bing Qin, Hongxuan Tang, Zekun Wang p67061-67105 from Advances in Neural Information Processing Systems 37
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  • Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

    Alain Durmus, Yazid Janati, Badr Moufad, Eric Moulines, Jimmy Olsson p97408-97444 from Advances in Neural Information Processing Systems 37
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  • Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

    Tommaso Salvatori, Eli Sennesh, Hao Wu p48599-48627 from Advances in Neural Information Processing Systems 37
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  • DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Antoine Dedieu, J. Guntupalli, Ahmad Humayun, Miguel Lázaro-Gredilla, Wolfgang Lehrach, Kevin Murphy, Joseph Ortiz, Sivaramakrishnan Swaminathan, Carter Wendelken, Guangyao Zhou p6574-6602 from Advances in Neural Information Processing Systems 37
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  • DMesh: A Differentiable Mesh Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMesh: A Differentiable Mesh Representation

    Matheus Gadelha, Ming Lin, Sanghyun Son, Zexiang Xu, Yang Zhou, Yi Zhou p12035-12077 from Advances in Neural Information Processing Systems 37
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