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Poster
Tue 15:15 ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen · Sudhanshu Agrawal · Aditya Grover
Workshop
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Arundhati Banerjee · Soham Phade · Stefano Ermon · Stephan Zheng
Poster
Wed 15:00 Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
Zhibin Duan · Zhiyi Lv · Chaojie Wang · Bo Chen · Bo An · Mingyuan Zhou
Poster
Thu 15:00 Focus Your Attention when Few-Shot Classification
Haoqing Wang · Shibo Jie · Zhihong Deng
Poster
Wed 8:45 Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
Alon Albalak · Colin Raffel · William Yang Wang
Poster
Wed 8:45 Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky · Tom Griffiths
Poster
Wed 15:00 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke · Haoqun Cao · Zenan Ling · Feng Zhou
Poster
Tue 8:45 LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai · Qing Yu · Go Irie · Kiyoharu Aizawa
Poster
Wed 8:45 Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning · Ruihai Wu · Haoran Lu · Kaichun Mo · Hao Dong
Poster
Wed 8:45 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Zhaohan Xi · Tianyu Du · Tianyu Du · Changjiang Li · Ren Pang · Shouling Ji · Jinghui Chen · Fenglong Ma · Ting Wang
Workshop
Context-Aware Meta-Learning
Christopher Fifty · Dennis Duan · Ronald Junkins · Ehsan Amid · Jure Leskovec · Christopher Ré · Sebastian Thrun
Poster
Wed 15:00 Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
Siyuan Sun · Hongyang Gao