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

    Martin Gubri, Siwon Kim, Hwaran Lee, Seong Joon Oh, Sungroh Yoon, Sangdoo Yun 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

    Susan Athey, Emma Brunskill, Sanath Kumar Krishnamurthy, Ruohan Zhan 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

    Florian Boessl, Wassim Gabriel, Ayla Schroeder, Omar Shouman, 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

    Wassim Gabriel, Victor-George Giurcoiu, Omar Shouman, 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

    Pratik Chaudhari, Ashwin De Silva, Rahul Ramesh, Joshua Vogelstein, Rubing Yang, Siyu Yu 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

    Liang Hong, Mingchen Li, Xinzhu Ma, Wanli Ouyang, Pan Tan, Yang Tan, Huiqun Yu, Bozitao Zhong, Bingxin Zhou, Ziyi Zhou 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, Yaniv Romano, Shalev Shaer 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

    Jiang Bian, Chunlin Chen, Wei Cheng, Zichuan Liu, Lei Song, Jinyu Wang, Tianchun Wang, Zefan Wang, Linjie Xu 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

    Kyunghyun Cho, Nathan Frey, Nate Gruver, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Tim G. J. Rudner, Samuel Stanton, 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, Wengong Jin, Zhenqiao Song, Rex Ying 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

    Mafalda Dias, Dinko Franceschi, Jonathan Frazer, Yarin Gal, Aaron Kollasch, Debora Marks, Pascal Notin, Rose Orenbuch, Steffanie Paul, Daniel Ritter, Nathan Rollins, Ada Shaw, Han Spinner, Lood Van Niekerk, Ruben Weitzman 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

    Xingran Chen, Zhangyang Gao, Stan Z. Li, Cheng Tan, Lirong Wu, Yijie Zhang 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

    Yarin Gal, Debora Marks, Pascal Notin, Ruben Weitzman 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

    Karsten Borgwardt, Dexiong Chen, Tim Kucera, Carlos Oliver 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, Ivan Oseledets, Gleb Ryzhakov 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

    Zhangyang Gao, Bozhen Hu, Stan Z. Li, Cheng Tan, Lirong Wu, Jun Xia, Yongjie Xu 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, Shengcai Liao, Cees Snoek, Zehao Xiao 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

    Lianli Gao, Hao Li, Hengtao Shen, Jingkuan Song, Xiaosu Zhu 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

    Wenjing Li, Nan Pu, Nicu Sebe, Haiyang Zheng, 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

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