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)
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
ACL 2022
On Efficiently Acquiring Annotations for Multilingual Models
ACL 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
NeurIPS 2022
One-Shot Compositional Data Generation for Low Resource Handwritten Text Recognition
WACV 2022
On Implicit Bias in Overparameterized Bilevel Optimization
ICML 2022
On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers
CoNLL 2022
Online Allocation and Learning in the Presence of Strategic Agents
NeurIPS 2022
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
CoRL 2022
Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
IJCAI 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation
ICLR 2022
Online No-regret Model-Based Meta RL for Personalized Navigation
L4DC 2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
EMNLP 2022
On Privacy and Personalization in Cross-Silo Federated Learning
NeurIPS 2022
On provably robust meta-Bayesian optimization
UAI 2022
On Sample Optimality in Personalized Collaborative and Federated Learning
NeurIPS 2022
On the Assumptions of Synthetic Control Methods
AISTATS 2022
On the Compositional Generalization Gap of In-Context Learning
EMNLP 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms
NeurIPS 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
NeurIPS 2022
On the Episodic Difficulty of Few-shot Learning
ACML 2022
On the Generalizability and Predictability of Recommender Systems
NeurIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
On the Representation Collapse of Sparse Mixture of Experts
NeurIPS 2022
On the Road to Online Adaptation for Semantic Image Segmentation
CVPR 2022