Few-Shot Learning
2,681 papers
Papers per year
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1
6
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19
50
125
178
311
403
478
570
414
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Papers
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
ACL 2021
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
EACL 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021
Exploring Transfer Learning For End-to-End Spoken Language Understanding
AAAI 2021
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter
CVPR 2021
Few-Shot and Continual Learning With Attentive Independent Mechanisms
ICCV 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
ICLR 2021
Few-Shot Classification With Feature Map Reconstruction Networks
CVPR 2021
Few-Shot Conformal Prediction with Auxiliary Tasks
ICML 2021
Few Shot Dialogue State Tracking using Meta-learning
EACL 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
EMNLP 2021
Few-Shot Image Generation via Cross-Domain Correspondence
CVPR 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers
CVPR 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
NAACL 2021
Few-Shot Keyword Spotting in Any Language
Interspeech 2021
Few-shot Learning for Multi-label Intent Detection
AAAI 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network
EACL 2021
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
EACL 2021
Few-Shot Learning of New Sound Classes for Target Sound Extraction
Interspeech 2021
Few-shot learning through contextual data augmentation
EACL 2021
Few-Shot Learning via Learning the Representation, Provably
ICLR 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
IJCAI 2021
Few-Shot Lifelong Learning
AAAI 2021
Few-Shot Named Entity Recognition: An Empirical Baseline Study
EMNLP 2021
Few-Shot Neural Architecture Search
ICML 2021