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

    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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