conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2,562 papers

Papers per year

3
167
401
'15
'20
'25

Papers

FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020
DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020
Few-Shot Pill Recognition CVPR 2020
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs CVPR 2020
Improved Few-Shot Visual Classification CVPR 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020
Learning to Segment the Tail CVPR 2020
Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020
Few-Shot Class-Incremental Learning CVPR 2020
Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020
Incremental Few-Shot Object Detection CVPR 2020
Few-Shot Video Classification via Temporal Alignment CVPR 2020
Instance Credibility Inference for Few-Shot Learning CVPR 2020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning CVPR 2020
Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020
Augmented Natural Language for Generative Sequence Labeling EMNLP 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs EMNLP 2020
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis EMNLP 2020
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent EMNLP 2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models EMNLP 2020
Few-Shot Learning for Opinion Summarization EMNLP 2020
Unsupervised Commonsense Question Answering with Self-Talk EMNLP 2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models EMNLP 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference EMNLP 2020