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

    A. Tuan Nguyen, Philip Torr, Ser Nam Lim 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

    Zihan Tan, Guancheng Wan, Wenke Huang, 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

    Klara Kaleb, Barbara Feulner, Juan Gallego, Claudia Clopath 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

    Mengting Xu, De Ma, Huajin Tang, Qian Zheng, Gang Pan 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, 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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  • 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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  • 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

    Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li 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

    Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim 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

    Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, 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

    Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man (Man) Cheung 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

    Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara 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

    Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin 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

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