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Poster
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Mon 1:00
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MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
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Poster
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Mon 17:00
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Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
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Oral
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Thu 13:15
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Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
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Workshop
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Fast Inference and Transfer of Compositional Task Structure for Few-shot Task Generalization
Sungryull Sohn · Hyunjae Woo · Jongwook Choi · Izzeddin Gur · Aleksandra Faust · Honglak Lee
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Poster
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Wed 9:00
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Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
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Thu 1:00
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Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
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Workshop
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Fri 16:01
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Contributed Talk 5 - On Calibration and Out-of-Domain Generalization
Yoav Wald
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Poster
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Tue 9:00
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Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov
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Workshop
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Fri 7:00
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Marinka Zitnik: Few-Shot Learning for Network Biology
Marinka Zitnik
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Workshop
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Fri 9:32
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Contributed Talk: Few-shot learning via tensor hallucination
Michalis Lazarou
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Poster
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Tue 17:00
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Attentional Constellation Nets for Few-Shot Learning
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu
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Poster
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Thu 1:00
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Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
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