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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets EMNLP 2021
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems EMNLP 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
AvaTr: One-Shot Speaker Extraction with Transformers INTERSPEECH 2021
A Prototypical Network Approach for Evaluating Generated Emotional Speech INTERSPEECH 2021
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label EMNLP 2021
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector EMNLP 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction AAAI 2021
Partially Observed Exchangeable Modeling ICML 2021
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021
Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer ICCV 2021
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021
Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021
Continual Few-Shot Learning for Text Classification EMNLP 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning ICCV 2021
Universal Representation Learning From Multiple Domains for Few-Shot Classification ICCV 2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021
Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021