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few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

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
Rapid Model Architecture Adaption for Meta-Learning NIPS 2022
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification NIPS 2022
Smoothed Embeddings for Certified Few-Shot Learning NIPS 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks NIPS 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems NIPS 2022
Graph Few-shot Learning with Task-specific Structures NIPS 2022
Fast inference and transfer of compositional task structures for few-shot task generalization UAI 2022
MetaPrompting: Learning to Learn Better Prompts COLING 2022