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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020
ProtoAttend: Attention-Based Prototypical Learning JMLR 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020
Frustratingly Simple Few-Shot Object Detection ICML 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning EMNLP 2020
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines EMNLP 2020
Unsupervised Commonsense Question Answering with Self-Talk EMNLP 2020
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020
Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020
Semi-Supervised Learning for Few-Shot Image-to-Image Translation CVPR 2020
Adaptive Subspaces for Few-Shot Learning CVPR 2020
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector CVPR 2020
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NIPS 2020
Language Models are Few-Shot Learners NIPS 2020
Interventional Few-Shot Learning NIPS 2020
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NIPS 2020
Leveraging Principal Parts for Morphological Inflection ACL 2020
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020
Learning to Forget for Meta-Learning CVPR 2020
PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020