Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • ProPILE: Probing Privacy Leakage in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProPILE: Probing Privacy Leakage in Large Language Models

    Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh p20750-20762 from Advances in Neural Information Processing Systems 36
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  • Proportional Fairness in Clustering: A Social Choice Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proportional Fairness in Clustering: A Social Choice Perspective

    Leon Kellerhals, Jannik Peters p111299-111317 from Advances in Neural Information Processing Systems 37
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  • Proportional Fairness in Non-Centroid Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proportional Fairness in Non-Centroid Clustering

    Ioannis Caragiannis, Evi Micha, Nisarg Shah p19139-19166 from Advances in Neural Information Processing Systems 37
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  • Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization

    Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill p30255-30266 from Advances in Neural Information Processing Systems 36
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  • Proppo: A Message Passing Framework for Customizable and Composable Learning Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proppo: A Message Passing Framework for Customizable and Composable Learning Algorithms

    Paavo Parmas, Takuma Seno p29152-29165 from Advances in Neural Information Processing Systems 35
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  • PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics

    Wassim Gabriel, Omar Shouman, Ayla Schroeder, Florian Boessl, Mathias Wilhelm p131154-131196 from Advances in Neural Information Processing Systems 37
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  • PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics

    Omar Shouman, Wassim Gabriel, Victor-George Giurcoiu, Vitor Sternlicht, Mathias Wilhelm p32882-32896 from Advances in Neural Information Processing Systems 35
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  • Prospective Learning: Learning for a Dynamic Future

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prospective Learning: Learning for a Dynamic Future

    Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua Vogelstein, Pratik Chaudhari p123055-123090 from Advances in Neural Information Processing Systems 37
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  • Prospective Representation Learning for Non-Exemplar Class-Incremental Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prospective Representation Learning for Non-Exemplar Class-Incremental Learning

    Wuxuan Shi, Mang Ye p995-1018 from Advances in Neural Information Processing Systems 37
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  • ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention

    Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong p35700-35726 from Advances in Neural Information Processing Systems 37
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  • Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

    Yarin Bar, Shalev Shaer, Yaniv Romano p85467-85499 from Advances in Neural Information Processing Systems 37
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  • Protecting Your LLMs with Information Bottleneck

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protecting Your LLMs with Information Bottleneck

    Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian p29723-29753 from Advances in Neural Information Processing Systems 37
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  • Protein Design with Guided Discrete Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protein Design with Guided Discrete Diffusion

    Nate Gruver, Samuel Stanton, Nathan Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Wilson p12489-12517 from Advances in Neural Information Processing Systems 36
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  • Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

    Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin p127154-127180 from Advances in Neural Information Processing Systems 37
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  • ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design

    Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood Van Niekerk, Steffanie Paul, Han Spinner, Nathan Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, Debora Marks p64331-64379 from Advances in Neural Information Processing Systems 36
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  • ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics

    Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li p68207-68220 from Advances in Neural Information Processing Systems 36
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  • ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers

    Pascal Notin, Ruben Weitzman, Debora Marks, Yarin Gal p33529-33563 from Advances in Neural Information Processing Systems 36
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  • ProteinShake: Building datasets and benchmarks for deep learning on protein structures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProteinShake: Building datasets and benchmarks for deep learning on protein structures

    Tim Kucera, Carlos Oliver, Dexiong Chen, Karsten Borgwardt p58277-58289 from Advances in Neural Information Processing Systems 36
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  • PROTES: Probabilistic Optimization with Tensor Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PROTES: Probabilistic Optimization with Tensor Sampling

    Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov, Ivan Oseledets p808-823 from Advances in Neural Information Processing Systems 36
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  • ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

    Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li p88581-88604 from Advances in Neural Information Processing Systems 37
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  • ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion

    Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek p46304-46322 from Advances in Neural Information Processing Systems 36
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  • Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

    Hao Li, Jingkuan Song, Lianli Gao, Xiaosu Zhu, Hengtao Shen p24564-24585 from Advances in Neural Information Processing Systems 36
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  • Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

    Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong p101428-101455 from Advances in Neural Information Processing Systems 37
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  • Prototypical Variational Autoencoder for 3D Few-shot Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prototypical Variational Autoencoder for 3D Few-shot Object Detection

    Weiliang Tang, Biqi Yang, Xianzhi Li, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu p2566-2579 from Advances in Neural Information Processing Systems 36
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