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)
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation
AAAI 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
CoRL 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
ICLR 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
NeurIPS 2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
EMNLP 2022
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
EMNLP 2022
Learning Logic Programs Though Divide, Constrain, and Conquer
AAAI 2022
Learning Losses for Strategic Classification
AAAI 2022
Learning low-dimensional generalizable natural features from retina using a U-net
NeurIPS 2022
Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification
CVPR 2022
Learning Modular Simulations for Homogeneous Systems
NeurIPS 2022
Learning Not to Learn: Nature versus Nurture In Silico
AAAI 2022
Learning Representations that Enable Generalization in Assistive Tasks
CoRL 2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
CoRL 2022
Learning Stable Classifiers by Transferring Unstable Features
ICML 2022
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking
NeurIPS 2022
Learning Tensor Representations for Meta-Learning
AISTATS 2022
Learning to Adapt to Low-Resource Paraphrase Generation
EMNLP 2022
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification
CVPR 2022
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
NeurIPS 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
L4DC 2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
EMNLP 2022
Learning to Estimate Object Poses without Real Image Annotations
IJCAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data
CVPR 2022