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)
Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation
CVPR 2026
Customized Fusion: A Closed-Loop Dynamic Network for Adaptive Multi-Task-Aware Infrared-Visible Image Fusion
CVPR 2026
Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events
CVPR 2026
CVA: Context-aware Video-text Alignment for Video Temporal Grounding
CVPR 2026
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
MIDL 2026
Cycle-Consistent Tuning for Layered Image Decomposition
CVPR 2026
CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation
MIDL 2026
CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data
ACL 2026
CYUT at SemEval-2026 Task 3: Multi-Task Dimensional Aspect Sentiment Regression with Polar Multi-Zone Labeling in VA Space
SemEval 2026
D$^2$-Former: Mixture-Of-Experts Guided Dual Transformer for Multi-Scale Medical Image Segmentation
MIDL 2026
D2Dewarp: Dual Dimensions Geometric Representation Learning Based Document Image Dewarping
CVPR 2026
D2T2 - Multimodal Automated Planning for Brachytherapy
CVPR 2026
D3D-VLP: Dynamic 3D Vision-Language-Planning Model for Embodied Grounding and Navigation
CVPR 2026
DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
CVPR 2026
Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
CVPR 2026
DANGNT@SGU at SemEval-2026 Task 1: A Two-Stage Mistral Generator with DistilBERT Reranking for English Humor Generation
SemEval 2026
DARC: Dual Adjustment Reasoning with Counterfactuals for Trustworthy Chest X-ray Classification
CVPR 2026
DarkAct: A RGB-Thermal Dataset and Fusion Framework for Multimodal Low-Light Action Recognition
CVPR 2026
DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
ACL 2026
Data Augmentation: A Fourier Analysis Perspective
COLT 2026
Data Efficient RLVR via Off-Policy Influence Guidance
ACL 2026
Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech
ACL 2026
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
ACL 2026
Data Pollination: An Emergent Ecological Process Driving AI Population Evolution
ACL 2026
DC-Merge: Improving Model Merging with Directional Consistency
CVPR 2026