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)
Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training
CVPR 2026
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
CVPR 2026
Towards Robust Multi-Modal Semantic Segmentation with Teacher-Student Framework and Hybrid Prototype Distillation
CVPR 2026
Towards Robust Sequential Decomposition for Complex Image Editing
CVPR 2026
Towards Robust Vision Transformers: Path Dependency Analysis and a Simple Two-Stage Adversarial Training
CVPR 2026
Towards Stable Federated Continual Test-Time Adaptation in Wild World
CVPR 2026
Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video
CVPR 2026
Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
CVPR 2026
Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport
CVPR 2026
TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Dual-Level Scale-Oriented Contrast
CVPR 2026
TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos
CVPR 2026
Tracking by Predicting 3-D Gaussians Over Time
CVPR 2026
Tracking through Severe Occlusion via Event-Derived Transient Cues
CVPR 2026
TrackMAE: Video Representation Learning via Track Mask and Predict
CVPR 2026
TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation
CVPR 2026
Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting
WACV 2026
Training-Free Open-Vocabulary Camouflaged Object Segmentation via Fine-Grained Object Binding and Adaptive Hybrid Prompt
CVPR 2026
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
MIDL 2026
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
ACL 2026
TrainMover: An Interruption-Resilient Runtime for ML Training
OSDI 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature
WACV 2026
Transfer Conformal Predictive Inference for Regression
JMLR 2026
Transfer Learning via Regularized Random-effects Linear Discriminant Analysis
JMLR 2026
TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection
SemEval 2026