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)
Predicting Twitter User Demographics from Names Alone
NAACL 2018
Prediction of Aesthetic Elements in Karnatic Music: A Machine Learning Approach
Interspeech 2018
Probabilistic Matrix Factorization for Automated Machine Learning
NeurIPS 2018
Probabilistic Model-Agnostic Meta-Learning
NeurIPS 2018
Probabilistic Recurrent State-Space Models
ICML 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
ICLR 2018
PROMT Systems for WMT 2018 Shared Translation Task
EMNLP 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back
ICML 2018
Rapid Style Adaptation Using Residual Error Embedding for Expressive Speech Synthesis
Interspeech 2018
Real-time Scholarly Retweeting Prediction System
COLING 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
ICLR 2018
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
COLING 2018
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
ACL 2018
Recursive Spoken Instruction-Based One-Shot Object and Action Learning
IJCAI 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
NeurIPS 2018
Reinforced Continual Learning
NeurIPS 2018
Reinforced Co-Training
NAACL 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
RSS 2018
Reinforcement Learning Algorithm Selection
ICLR 2018
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
CoRL 2018
Relational recurrent neural networks
NeurIPS 2018
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback
ICLR 2018
Revisiting (ε, γ, τ)-similarity learning for domain adaptation
NeurIPS 2018
Revisiting Knowledge Transfer for Training Object Class Detectors
CVPR 2018
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
NeurIPS 2018