Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
Few-Shot Learning
1062 directly classified papers
Papers per year
2006: 1
2011: 1
2013: 2
2014: 1
2015: 1
2017: 6
2018: 13
2019: 30
2020: 47
2021: 104
2022: 151
2023: 184
2024: 243
2025: 251
2026: 27
Papers
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
CVPR 2020
Few Shot Network Compression via Cross Distillation
AAAI 2020
Synthetic Examples Improve Generalization for Rare Classes
WACV 2020
The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT
EMNLP 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection
ACL 2020
Robust Data Programming with Precision-guided Labeling Functions
AAAI 2020
Unsupervised vs. Transfer Learning for Multimodal One-Shot Matching of Speech and Images
INTERSPEECH 2020
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
ACL 2020
Diversity Transfer Network for Few-Shot Learning
AAAI 2020
MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets
AAAI 2020
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
EMNLP 2020
Analogy Models for Neural Word Inflection
COLING 2020
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning
COLING 2020
Fine-Grained Image-to-Image Transformation Towards Visual Recognition
CVPR 2020
Re-solve it: simulating the acquisition of core semantic competences from small data
EMNLP 2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
EMNLP 2020
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
CVPR 2020
Tracking by Instance Detection: A Meta-Learning Approach
CVPR 2020
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions
AAAI 2020
A Two-Stage Masked LM Method for Term Set Expansion
ACL 2020
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment
ACL 2020
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification
EMNLP 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
EMNLP 2020
Harvesting and Refining Question-Answer Pairs for Unsupervised QA
ACL 2020
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
CVPR 2020
<
1
…
39
40
41
42
43
>