Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

    Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye p34561-34581 from Advances in Neural Information Processing Systems 37
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  • FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

    Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang p132743-132767 from Advances in Neural Information Processing Systems 38
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  • FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization

    Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu p4999-5036 from Advances in Neural Information Processing Systems 38
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  • Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

    hanxue liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Oztireli, Huan Ling, Zan Gojcic, Jiahui Huang p168444-168472 from Advances in Neural Information Processing Systems 38
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  • Feedback control guides credit assignment in recurrent neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feedback control guides credit assignment in recurrent neural networks

    Klara Kaleb, Barbara Feulner, Juan Gallego, Claudia Clopath p5122-5144 from Advances in Neural Information Processing Systems 37
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  • FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback

    Dongwei Jiang, Bowei Zhang, Andrew Wang, Nicholas Andrews, Daniel Khashabi p60984-61016 from Advances in Neural Information Processing Systems 38
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  • Feedback Guidance of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feedback Guidance of Diffusion Models

    Felix Koulischer, Florian Handke, Johannes Deleu, Thomas Demeester, Luca Ambrogioni p89288-89319 from Advances in Neural Information Processing Systems 38
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  • Feedback-Aware MCTS for Goal-Oriented Information Seeking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feedback-Aware MCTS for Goal-Oriented Information Seeking

    Harshita Chopra, Chirag Shah p143948-143975 from Advances in Neural Information Processing Systems 38
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  • Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown

    Emile Anand, Sarah Liaw p155159-155206 from Advances in Neural Information Processing Systems 38
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  • FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    Mengting Xu, De Ma, Huajin Tang, Qian Zheng, Gang Pan p91930-91950 from Advances in Neural Information Processing Systems 37
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  • FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition

    Pragya Singh, Ankush Gupta, Somay Jalan, Mohan Kumar, Pushpendra Singh p173704-173751 from Advances in Neural Information Processing Systems 38
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  • Feint Behaviors and Strategies: Formalization, Implementation and Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feint Behaviors and Strategies: Formalization, Implementation and Evaluation

    Junyu Liu, Xiangjun Peng p3514-3542 from Advances in Neural Information Processing Systems 37
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  • FELM: Benchmarking Factuality Evaluation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FELM: Benchmarking Factuality Evaluation of Large Language Models

    Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He p44502-44523 from Advances in Neural Information Processing Systems 36
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  • FeLMi : Few Shot Learning with Hard Mixup

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FeLMi : Few Shot Learning with Hard Mixup

    Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa p24474-24486 from Advances in Neural Information Processing Systems 35
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  • FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

    Lisha Chen, Afm Saif, Yanning Shen, Tianyi Chen p18758-18805 from Advances in Neural Information Processing Systems 37
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  • Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

    Hanlin Gu, Win Ong, Chee Chan, Lixin Fan p24150-24180 from Advances in Neural Information Processing Systems 37
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  • FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies

    Shuqiao Liang, Jian Liu, Chen Renzhang, Quanlong Guan p47079-47103 from Advances in Neural Information Processing Systems 38
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  • FETA: Towards Specializing Foundational Models for Expert Task Applications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FETA: Towards Specializing Foundational Models for Expert Task Applications

    Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky p29873-29888 from Advances in Neural Information Processing Systems 35
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  • Fetch and Forge: Efficient Dataset Condensation for Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fetch and Forge: Efficient Dataset Condensation for Object Detection

    Ding Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao p119283-119300 from Advances in Neural Information Processing Systems 37
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  • FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

    Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou p62352-62387 from Advances in Neural Information Processing Systems 36
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  • Few-Shot Adversarial Prompt Learning on Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Adversarial Prompt Learning on Vision-Language Models

    Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu p3122-3156 from Advances in Neural Information Processing Systems 37
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  • Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

    Brianna Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clay Washington, Thiago Scodeler, Diogo De Lucena, Samuel Nason-Tomaszewski, Matthew Mender, Xuan Ma, Ezequiel Arneodo, Leigh Hochberg, Cynthia Chestek, et al. p76578-76615 from Advances in Neural Information Processing Systems 37
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  • Few-Shot Audio-Visual Learning of Environment Acoustics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Audio-Visual Learning of Environment Acoustics

    Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman p2522-2536 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

    Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye p15060-15076 from Advances in Neural Information Processing Systems 36
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