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)
Latent Bottlenecked Attentive Neural Processes
ICLR 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
NeurIPS 2023
LAVA: Label-Efficient Visual Learning and Adaptation
WACV 2023
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
SemEval 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
ICCV 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
ICML 2023
LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation
EACL 2023
Learnability and Algorithm for Continual Learning
ICML 2023
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
AAAI 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
WACV 2023
Learning Adaptive Neighborhoods for Graph Neural Networks
ICCV 2023
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
ICLR 2023
Learning and Adapting Agile Locomotion Skills by Transferring Experience
RSS 2023
Learning and Aggregating Lane Graphs for Urban Automated Driving
CVPR 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
NeurIPS 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
JMLR 2023
Learning Attention Propagation for Compositional Zero-Shot Learning
WACV 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
ACL 2023
Learning Conditional Attributes for Compositional Zero-Shot Learning
CVPR 2023
Learning Conflict-Noticed Architecture for Multi-Task Learning
AAAI 2023
Learning Constraint Networks over Unknown Constraint Languages
IJCAI 2023
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
ICCV 2023
Learning Customized Visual Models With Retrieval-Augmented Knowledge
CVPR 2023
Learning Efficient Truthful Mechanisms for Trading Networks
IJCAI 2023
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech
Interspeech 2023