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)
Black-Box Adversarial Attack with Transferable Model-based Embedding
ICLR 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
CVPR 2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
EMNLP 2020
Bootstrapping a Crosslingual Semantic Parser
EMNLP 2020
Bootstrapping Techniques for Polysynthetic Morphological Analysis
ACL 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
NeurIPS 2020
Brain-Mediated Transfer Learning of Convolutional Neural Networks
AAAI 2020
Breaking the Communication-Privacy-Accuracy Trilemma
NeurIPS 2020
Bridging Causality and Learning: How Do They Benefit from Each Other?
IJCAI 2020
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations
EMNLP 2020
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
AAAI 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
NeurIPS 2020
Byzantine Resilient Distributed Multi-Task Learning
NeurIPS 2020
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning
CVPR 2020
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning
ACL 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CoRL 2020
Cancer Registry Information Extraction via Transfer Learning
EMNLP 2020
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
AACL 2020
CATOTRON — A Neural Text-to-Speech System in Catalan
Interspeech 2020
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift
AAAI 2020
Characterization of Overlap in Observational Studies
AISTATS 2020
CHARM: Inferring Personal Attributes from Conversations
EMNLP 2020
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
WACV 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
AISTATS 2020
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output
MLHC 2020