Few-Shot Learning

One Shot Learning via Compositions of Meaningful Patches ICCV 2015 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 Zero-shot recognition with unreliable attributes NeurIPS 2014 Discovering Object Functionality ICCV 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 One-shot learning and big data with n=2 NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Transfer Learning in a Transductive Setting NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 Learning to Learn with Compound HD Models NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 PLISS: Detecting and Labeling Places Using Online Change-Point Detection RSS 2010 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006