Paper

  • 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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