few-shot learning

A Closer Look at the Training Strategy for Modern Meta-Learning NeurIPS 2020 Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs CVPR 2020 Adaptive Attentional Network for Few-Shot Knowledge Graph Completion EMNLP 2020 Adaptive Subspaces for Few-Shot Learning CVPR 2020 Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020 Adversarially Robust Few-Shot Learning: A Meta-Learning Approach NeurIPS 2020 Adversarially robust transfer learning ICLR 2020 ANDES at SemEval-2020 Task 12: A Jointly-trained BERT Multilingual Model for Offensive Language Detection SemEval 2020 An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution COLING 2020 An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels EMNLP 2020 An Investigation of Few-Shot Learning in Spoken Term Classification Interspeech 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 A Theoretical Analysis of the Number of Shots in Few-Shot Learning ICLR 2020 Attentive Weights Generation for Few Shot Learning via Information Maximization CVPR 2020 Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding Interspeech 2020 A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification COLING 2020 A Two-Stage Masked LM Method for Term Set Expansion ACL 2020 Augmented Natural Language for Generative Sequence Labeling EMNLP 2020 Automated Relational Meta-learning ICLR 2020 Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification COLING 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset EMNLP 2020 Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning NeurIPS 2020 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020