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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

Prompt Distribution Learning CVPR 2022
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction AAAI 2022
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images AAAI 2022
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation AAAI 2022
Learning from the Tangram to Solve Mini Visual Tasks AAAI 2022
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training AAAI 2022
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup EMNLP 2022
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition EMNLP 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts EMNLP 2022
In-Context Learning for Few-Shot Dialogue State Tracking EMNLP 2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning EMNLP 2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models EMNLP 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022
A Few More Examples May Be Worth Billions of Parameters EMNLP 2022
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning EMNLP 2022
Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022
Can language models learn from explanations in context? EMNLP 2022
Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022
Large language models are few-shot clinical information extractors EMNLP 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022
Language Model Pre-Training with Sparse Latent Typing EMNLP 2022
Multilingual Relation Classification via Efficient and Effective Prompting EMNLP 2022
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning EMNLP 2022