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)
MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation
CVPR 2026
MambaSIC: Mamba-based Stereo Image Compression with Bi-directional Multi-reference Entropy Model
CVPR 2026
MAMMA: Markerless Accurate Multi-person Motion Acquisition
CVPR 2026
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
CVPR 2026
MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images
MIDL 2026
Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning
ACL 2026
MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models
CVPR 2026
MapRoute:Precise-Concept Erasing Mappers via Semantic Routing
CVPR 2026
MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization
CVPR 2026
MARCO: Navigating the Unseen Space of Semantic Correspondence
CVPR 2026
Mario: Multimodal Graph Reasoning with Large Language Models
CVPR 2026
MARIS: Marine Open-Vocabulary Instance Segmentation
CVPR 2026
MarSan at SemEval-2026 Task 4: Narrative Similarity via Sentence-BERT Metric Learning with Triple-Derived Losses
SemEval 2026
MARSS: Radar Semantic Segmentation via Modular Attention and State Space Models
CVPR 2026
MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI
MIDL 2026
MaskAdapt: Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based Characters
CVPR 2026
Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning
CVPR 2026
Masked Region Transformer for Layered Image Generation and Editing at Scale
CVPR 2026
Masked Representation Modeling for Domain-Adaptive Segmentation
CVPR 2026
MaskFocus: Focusing Policy Optimization on Critical Steps for Masked Image Generation
CVPR 2026
Mask to Align, Weight to Disambiguate: Reliable Unsupervised Cross-Modal Hashing with Masked-Weight Contrast
CVPR 2026
Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
ACL 2026
Match-and-Fuse: Consistent Generation from Unstructured Image Sets
CVPR 2026
MatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision
CVPR 2026
MatchMask: Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation
CVPR 2026