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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

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing EMNLP 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NIPS 2022
Active Learning Helps Pretrained Models Learn the Intended Task NIPS 2022
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision EMNLP 2022
Natural Language to Code Translation with Execution EMNLP 2022
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification EMNLP 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation EMNLP 2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets EMNLP 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts EMNLP 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout EMNLP 2022
Few-Shot Class-Incremental Learning for Named Entity Recognition ACL 2022
Answer-level Calibration for Free-form Multiple Choice Question Answering ACL 2022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL 2022
Pre-training to Match for Unified Low-shot Relation Extraction ACL 2022
Towards more equitable question answering systems: How much more data do you need? ACL 2021
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter CVPR 2021
Home Action Genome: Cooperative Compositional Action Understanding CVPR 2021
Dynamic Class Queue for Large Scale Face Recognition in the Wild CVPR 2021
Transformation Invariant Few-Shot Object Detection CVPR 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021
TuringAdvice: A Generative and Dynamic Evaluation of Language Use NAACL 2021
Self-training Improves Pre-training for Natural Language Understanding NAACL 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021