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Poster
Mon 1:00 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du, Xiantong Zhen, Ling Shao, Cees G Snoek
Poster
Mon 1:00 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang
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 17:00 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
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 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov
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 17:00 Concept Learners for Few-Shot Learning
Kaidi Cao, Maria Brbic, Jure Leskovec
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
Poster
Wed 1:00 IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang
Poster
Wed 9:00 Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba, Josif Grabocka
Poster
Wed 9:00 Theoretical bounds on estimation error for meta-learning
James Lucas, Mengye Ren, Irene Raissa KAMENI KAMENI, Toniann Pitassi, Richard Zemel
Poster
Wed 17:00 Wandering within a world: Online contextualized few-shot learning
Mengye Ren, Michael L Iuzzolino, Michael Mozer, Richard Zemel
Wed 20:00 ML and Language (#1)
Poster
Thu 1:00 Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen, Chi-Guhn Lee
Poster
Thu 1:00 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
Poster
Thu 1:00 Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
Poster
Thu 9:00 Cut out the annotator, keep the cutout: better segmentation with weak supervision
Sarah Hooper, Michael Wornow, Ying Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re
Poster
Thu 9:00 Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell, Richard Zemel
Oral
Thu 13:15 Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan
Poster
Thu 17:00 Prototypical Representation Learning for Relation Extraction
Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang
Poster
Thu 17:00 Few-Shot Learning via Learning the Representation, Provably
Simon Du, Wei Hu, Sham M Kakade, Jason Lee, Qi Lei
Workshop
Fri 6:30 How Can Findings About The Brain Improve AI Systems?
Shinji Nishimoto, Leila Wehbe, Alexander Huth, Javier Turek, Nicole Beckage, Vy Vo, Mariya Toneva, Hsiang-Yun Chien, Shailee Jain, Richard Antonello
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
Fri 14:00 ML and Language (#2)