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Few-Shot Learning

1,837 papers

Papers per year

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Papers

ReasonBERT: Pre-trained to Reason with Distant Supervision EMNLP 2021
Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021
Continuous Entailment Patterns for Lexical Inference in Context EMNLP 2021
Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021
Discrete and Soft Prompting for Multilingual Models EMNLP 2021
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021
Language Models are Few-Shot Butlers EMNLP 2021
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP 2021
Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021
What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021
Self-training with Few-shot Rationalization EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021
Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021
Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021
Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs EMNLP 2021
Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages EMNLP 2021
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021
Language Models are Few-shot Multilingual Learners EMNLP 2021
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector EMNLP 2021