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Poster
Mon 1:00 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang
Poster
Mon 1:00 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
Oral
Mon 3:15 Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
Poster
Mon 9:00 Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto
Poster
Mon 9:00 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
Poster
Mon 17:00 Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
Spotlight
Mon 19:45 Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto
Poster
Tue 1:00 BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh · Hyungjun Yoo · ChangHwan Kim · Se-Young Yun
Poster
Tue 9:00 Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu · Yizhe Zhu · Kunpeng Song · Ahmed Elgammal
Poster
Tue 9:00 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov
Poster
Tue 17:00 Attentional Constellation Nets for Few-Shot Learning
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu
Poster
Tue 17:00 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert