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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
Few-Shot Semantic Parsing for New Predicates
EACL 2021
Few-shot learning through contextual data augmentation
EACL 2021
El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing
EACL 2021
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary
EACL 2021
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
EACL 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation
L4DC 2021
Open Aspect Target Sentiment Classification with Natural Language Prompts
EMNLP 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
EMNLP 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
MIDL 2021
Addressing Catastrophic Forgetting in Few-Shot Problems
ICML 2021
Few-Shot Neural Architecture Search
ICML 2021
Calibrate Before Use: Improving Few-shot Performance of Language Models
ICML 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
Few-Shot Classification With Feature Map Reconstruction Networks
CVPR 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
CVPR 2021
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation
CVPR 2021
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
CVPR 2021
Adaptive Image Transformer for One-Shot Object Detection
CVPR 2021
Multimodal Few-Shot Learning with Frozen Language Models
NIPS 2021
Uniform Sampling over Episode Difficulty
NIPS 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
NIPS 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers
CVPR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
CVPR 2021
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