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)
More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs
ACL 2026
More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel
MIDL 2026
MORE-STEM: Long-Short MemOry REcall and Spatio-TEmporal Consistency Model for Query-Driven 3D/4D Point Cloud Segmentation
CVPR 2026
More Than Meets the Eye: A Unified Image Fusion Framework via Semantic-Pixel Entropy Trade-off for Zero-Shot Generalization
CVPR 2026
More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters
ACL 2026
Morphology-Aware Multi-Granularity Representation Learning for Agglutinative Languages
ACL 2026
MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification
CVPR 2026
Motion-Aware Graph Fusion Network for 3D Human Pose Estimation
WACV 2026
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
CVPR 2026
MovieRecapsQA: A Multimodal Open-Ended Video Question-Answering Benchmark
CVPR 2026
Moving Border Ownership for Event-based Motion Segmentation
CVPR 2026
MPL: Match-guided Prototype Learning for Few-shot Action Recognition
CVPR 2026
MR. Illuminate: Zero-Shot Low-Light Image Enhancement with Diffusion Prior
CVPR 2026
MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied Navigation
CVPR 2026
MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis
ACL 2026
MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
CVPR 2026
MS-Temba: Multi-Scale Temporal Mamba for Understanding Long Untrimmed Videos
CVPR 2026
MT3: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation
ACL 2026
MTIVE: Multi-Task Image Verification Engine Using Vision-Language Models for E-commerce
ACL 2026
MuCo: Multi-turn Contrastive Learning for Multimodal Embedding Model
CVPR 2026
MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation
CVPR 2026
MultiCrafter: High-Fidelity Multi-Subject Generation via Disentangled Attention and Identity-Aware Preference Alignment
CVPR 2026
Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening
CVPR 2026
Multi-Hierarchical Contrastive Spectral Fusion for Multi-View Clustering
CVPR 2026
Multi-Label Polarization Classification with twHIN-BERT and SCUT Threshold Optimization
SemEval 2026