Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Continual Learning in an Open and Dynamic World
AAAI 2024
Continual Learning in the Frequency Domain
NeurIPS 2024
Continual Learning of Unsupervised Monocular Depth From Videos
WACV 2024
Continual Learning with Global Alignment
NeurIPS 2024
Continual learning with the neural tangent ensemble
NeurIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Continual Multimodal Knowledge Graph Construction
IJCAI 2024
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
EMNLP 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
NeurIPS 2024
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World
CVPR 2024
Continuous Pose for Monocular Cameras in Neural Implicit Representation
CVPR 2024
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
CVPR 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
ICML 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
IJCAI 2024
Contrastive Credibility Propagation for Reliable Semi-supervised Learning
AAAI 2024
Contrastive Entity Coreference and Disambiguation for Historical Texts
EMNLP 2024
Contrastive Instruction Tuning
ACL 2024
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
ICML 2024
Contrastive Learning for Low-Light Raw Denoising (Student Abstract)
AAAI 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery
CVPR 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
CVPR 2024
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
ECCV 2024
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation
EMNLP 2024