← Keywords

few-shot learning

3390 papers

Explore in graph

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

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition CVPR 2022
Task Discrepancy Maximization for Fine-Grained Few-Shot Classification CVPR 2022
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning CVPR 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection EMNLP 2022
Few-shot initializing of Active Learner via Meta-Learning EMNLP 2022
Few-Shot Cross-Lingual Learning for Event Detection EMNLP 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022
Constrained Few-Shot Class-Incremental Learning CVPR 2022
TAPE: Assessing Few-shot Russian Language Understanding EMNLP 2022
How to Distribute Data across Tasks for Meta-Learning? AAAI 2022
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG ACL 2022
Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking NAACL 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction ACL 2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization NAACL 2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis NAACL 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework NAACL 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NIPS 2022
Few-Shot Self-Rationalization with Natural Language Prompts NAACL 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NIPS 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining NIPS 2022
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models NAACL 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts EMNLP 2022
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022