Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • FedSR: A Simple and Effective Domain Generalization Method for Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedSR: A Simple and Effective Domain Generalization Method for Federated Learning

    Ser Nam Lim, A. Tuan Nguyen, Philip Torr p38831-38843 from Advances in Neural Information Processing Systems 35
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  • 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

    Wenke Huang, Zihan Tan, Guancheng Wan, Mang Ye p34561-34581 from Advances in Neural Information Processing Systems 37
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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

    Claudia Clopath, Barbara Feulner, Juan Gallego, Klara Kaleb p5122-5144 from Advances in Neural Information Processing Systems 37
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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

    De Ma, Gang Pan, HuaJin Tang, Mengting Xu, Qian Zheng p91930-91950 from Advances in Neural Information Processing Systems 37
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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, I-Chun Chern, Siyang Gao, Junxian He, Pengfei Liu, Jinghan Zhang, Yiran Zhao 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

    Rama Chellappa, Anoop Cherian, Prithviraj Dhar, Aniket Roy, Anshul Shah, Ketul Shah 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, Tianyi Chen, AFM Saif, Yanning Shen 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

    Chee Chan, Lixin Fan, Hanlin Gu, Win Ong p24150-24180 from Advances in Neural Information Processing Systems 37
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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, Christoph Auer, Michele Dolfi, Rogerio Feris, Oshri Halimi, Sivan Harary, Roei Herzig, Leonid Karlinsky, Rameswar Panda, Kate Saenko, Eli Schwartz, Peter Staar 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

    Shuguang Dou, Jialin Li, Jian Li, Jinlong Peng, Ding Qi, Chengjie Wang, Yabiao Wang, Jiangning Zhang, Bo Zhao, 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

    Sishuo Chen, Rundong Gao, Lu Hou, Lei Li, Shicheng Li, Yuanxin Liu, Shuhuai Ren, Xu Sun 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

    Bo Han, Zhiwei Lin, Tongliang Liu, Xiaobo Xia, Yiwei Zhou 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

    Ezequiel Arneodo, Cynthia Chestek, Jennifer Collinger, Diogo de Lucena, Chaofei Fan, Robert Gaunt, Timothy Gentner, Vikash Gilja, Jaimie Henderson, Leigh Hochberg, Brianna Karpowicz, Xuan Ma, Matthew Mender, Lee Miller, 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

    Ziad Al-Halah, Changan Chen, Kristen Grauman, Sagnik Majumder 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, Han-Jia Ye, De-Chuan Zhan, Yi-Kai Zhang, Da-Wei Zhou p15060-15076 from Advances in Neural Information Processing Systems 36
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  • Few-Shot Continual Active Learning by a Robot

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Continual Active Learning by a Robot

    Ali Ayub, Carter Fendley p30612-30624 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Diffusion Models Escape the Curse of Dimensionality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Diffusion Models Escape the Curse of Dimensionality

    Cheng Chen, Bo Jiang, Ruinan Jin, Shuai Li, Baoxiang Wang, Ruofeng Yang p68528-68558 from Advances in Neural Information Processing Systems 37
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  • Few-Shot Fast-Adaptive Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Fast-Adaptive Anomaly Detection

    Ser Nam Lim, Tsung-Yu Lin, Ashish Shah, Rui Wang, Ze Wang, Yipin Zhou p4957-4970 from Advances in Neural Information Processing Systems 35
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  • Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory

    Bo An, Bo Chen, Zhibin Duan, Zhiyi Lv, Chaojie Wang, Mingyuan Zhou p7443-7461 from Advances in Neural Information Processing Systems 36
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  • Few-Shot Image Generation Via Adaptation-Aware Kernel Modulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Image Generation Via Adaptation-Aware Kernel Modulation

    Milad Abdollahzadeh, Keshigeyan Chandrasegaran, Ngai-Man Man Cheung, Yunqing Zhao p19427-19440 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion

    Yasuhiro Fujiwara, Yasutoshi Ida, Tomoharu Iwata, Atsutoshi Kumagai p9577-9590 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Non-Parametric Learning with Deep Latent Variable Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Non-Parametric Learning with Deep Latent Variable Model

    Yiqin Dai, Zhiying Jiang, Ming Li, Jimmy Lin, Ji Xin p26448-26461 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

    Mohit Bansal, Tenghao Huang, Haokun Liu, Jay Mohta, Mohammed Muqeeth, Colin Raffel, Derek Tam p1950-1965 from Advances in Neural Information Processing Systems 35
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