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)
Online-Within-Online Meta-Learning
NeurIPS 2019
On Reinforcement Learning for Full-Length Game of StarCraft
AAAI 2019
On Robustness of Unsupervised Domain Adaptation for Speaker Recognition
Interspeech 2019
On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval
Interspeech 2019
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
NeurIPS 2019
On the Design of Estimators for Bandit Off-Policy Evaluation
ICML 2019
On the Downstream Performance of Compressed Word Embeddings
NeurIPS 2019
On the End-to-End Solution to Mandarin-English Code-Switching Speech Recognition
Interspeech 2019
On the Global Optima of Kernelized Adversarial Representation Learning
ICCV 2019
On the Performance of Thompson Sampling on Logistic Bandits
COLT 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
NeurIPS 2019
On the Value of Target Data in Transfer Learning
NeurIPS 2019
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
NAACL 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning?
COLT 2019
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
EMNLP 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
ICML 2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
NeurIPS 2019
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition
CVPR 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks
EMNLP 2019
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
IJCAI 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
AAAI 2019
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
ICLR 2019
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
ICCV 2019
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment
ICCV 2019
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation
ACL 2019