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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification AAAI 2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis AAAI 2022
Improving Compositional Generalization with Self-Training for Data-to-Text Generation ACL 2022
Are Prompt-based Models Clueless? ACL 2022
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022
ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification AAAI 2022
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract) AAAI 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation CORL 2022
Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract) AAAI 2022
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems AAAI 2022
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning IJCAI 2022
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3 SEMEVAL 2022
How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild AAAI 2022
Label Hallucination for Few-Shot Classification AAAI 2022
Cross-Domain Few-Shot Graph Classification AAAI 2022
Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification IJCAI 2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation IJCAI 2022
Attentional Meta-learners for Few-shot Polythetic Classification ICML 2022
MAML and ANIL Provably Learn Representations ICML 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection AAAI 2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation IJCAI 2022
Improved Relation Networks for End-to-End Speaker Verification and Identification INTERSPEECH 2022
DESED: Dialogue-based Explanation for Sentence-level Event Detection COLING 2022
Dependency-aware Prototype Learning for Few-shot Relation Classification COLING 2022