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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NIPS 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NIPS 2022
STaR: Bootstrapping Reasoning With Reasoning
NIPS 2022
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
CVPR 2022
Flamingo: a Visual Language Model for Few-Shot Learning
NIPS 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
NIPS 2022
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
NIPS 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
NIPS 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
NIPS 2022
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
NIPS 2022
Constrained Few-Shot Class-Incremental Learning
CVPR 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
CVPR 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NIPS 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
NIPS 2022
Meta-Learning for Multi-Label Few-Shot Classification
WACV 2022
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models
COLING 2022
Few-shot Table-to-text Generation with Prefix-Controlled Generator
COLING 2022
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
COLING 2022
Prompting for a conversation: How to control a dialog model?
COLING 2022
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor
COLING 2022
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
NAACL 2022
Few-Shot Self-Rationalization with Natural Language Prompts
NAACL 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
NAACL 2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
NAACL 2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization
NAACL 2022
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