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)
Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis
MIDL 2026
Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound
MIDL 2026
DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts
AAAI 2026
Domain Faithfulness through Counterfactually Robust Learning
CLeaR 2026
Domain Generalizable AI Guardrails with Augmented Policy Training
ACL 2026
Domain Sensitive Federated Learning with Fisher-Informed Pruning
CVPR 2026
Domain-Skewed Federated Learning with Feature Decoupling and Calibration
CVPR 2026
Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation
ACL 2026
Doubly Debiased Robust Subsampling for Transfer Learning
JMLR 2026
Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
CVPR 2026
DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation
CVPR 2026
DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models
CVPR 2026
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
CVPR 2026
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
ACL 2026
Drainage: A Unifying Framework for Addressing Class Uncertainty
CVPR 2026
Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection
SemEval 2026
DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning
WACV 2026
DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior
CVPR 2026
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
ACL 2026
DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease
CVPR 2026
Drift-Resilient Temporal Priors for Visual Tracking
CVPR 2026
DRM: Diffusion-based Reward Model With Step-wise Guidance
CVPR 2026
Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design
CVPR 2026
DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing
CVPR 2026
DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR
CVPR 2026