Poster

Mon 1:00

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek

Poster

Mon 17:00

Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan

Oral

Thu 13:15

Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan

Workshop

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

Poster

Wed 9:00

Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake

Poster

Thu 1:00

Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien

Workshop

Fri 16:01

Contributed Talk 5 - On Calibration and Out-of-Domain Generalization
Yoav Wald

Poster

Tue 9:00

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov

Workshop

Fri 7:00

Marinka Zitnik: Few-Shot Learning for Network Biology
Marinka Zitnik

Workshop

Fri 9:32

Contributed Talk: Few-shot learning via tensor hallucination
Michalis Lazarou

Poster

Tue 17:00

Attentional Constellation Nets for Few-Shot Learning
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu

Poster

Thu 1:00

Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu