Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News
COLING 2020
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction
EMNLP 2020
Event Extraction by Answering (Almost) Natural Questions
EMNLP 2020
Event-Guided Denoising for Multilingual Relation Learning
COLING 2020
Evolving Losses for Unsupervised Video Representation Learning
CVPR 2020
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources
EMNLP 2020
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
CoRL 2020
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
RSS 2020
Explicit Semantic Decomposition for Definition Generation
ACL 2020
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
AAAI 2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations
EMNLP 2020
Exploring and Predicting Transferability across NLP Tasks
EMNLP 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference
EMNLP 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
JMLR 2020
Exploring the zero-shot limit of FewRel
COLING 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
EMNLP 2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
MIDL 2020
Extensively Matching for Few-shot Learning Event Detection
ACL 2020
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches
ACL 2020
Extractive Summarization System for Annual Reports
COLING 2020
Fact or Fiction: Verifying Scientific Claims
EMNLP 2020
Fair Resource Allocation in Federated Learning
ICLR 2020
Fast Task Inference with Variational Intrinsic Successor Features
ICLR 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
CVPR 2020