Paper

  • 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 Deep Learning-Based Construction Quality Inspection of Grouting Engineering

    Aussino Academic Publishing House (AAPH)

    Few-Shot Deep Learning-Based Construction Quality Inspection of Grouting Engineering

    LI Junlan p1947-1951 from 13th Academic Conference of Geology Resource Management and Sustainable Development (GRMSD 2025)
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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 Learning-Based Risk Feature Extraction for Geological Resources and Multi-Risk Overlay Scenario Design

    Aussino Academic Publishing House (AAPH)

    Few-Shot Learning-Based Risk Feature Extraction for Geological Resources and Multi-Risk Overlay Scenario Design

    XU Ying,, YIN Shoujun, ZHAO Menghan p995-1000 from 13th Academic Conference of Geology Resource Management and Sustainable Development (GRMSD 2025)
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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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  • Few-Shot Relational Reasoning Via Connection Subgraph Pretraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Relational Reasoning Via Connection Subgraph Pretraining

    Qian Huang, Hongyu Ren, Jure Leskovec p6397-6409 from Advances in Neural Information Processing Systems 35
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  • Few-Shot Task Learning through Inverse Generative Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Few-Shot Task Learning through Inverse Generative Modeling

    Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua Tenenbaum, Tianmin Shu, Pulkit Agrawal p98445-98477 from Advances in Neural Information Processing Systems 37
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