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)
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
ACL 2026
MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology
MIDL 2026
MOA: Multi-Objective Alignment for Role-Playing Agents
ACL 2026
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
Mobile-VTON: High-Fidelity On-Device Virtual Try-On
CVPR 2026
MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment
CVPR 2026
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
ACL 2026
MoCha: End-to-End Video Character Replacement without Structural Guidance
CVPR 2026
Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards
ACL 2026
MoCoDiff: A Controllable Autoregressive Diffusion Model for Expressive Motion Generation
CVPR 2026
MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization
CVPR 2026
Model Agnostic Graph Prompt Learning for Crystal Property Prediction
UAI 2026
Model-free Domain Adaptation for Concealed Multimodal Large-Language Models
WACV 2026
Modeling Cross-vision Synergy for Unified Large Vision Model
CVPR 2026
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
UAI 2026
Model Merging in the Essential Subspace
CVPR 2026
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
UAI 2026
Modular Monolingual Adaptation using Pretrained Language Models
ACL 2026
ModusPonens at SemEval-2026 Task 11: Breaking the Plausibility Trap in LLMs via Conflict-Aware Ensembling
SemEval 2026
MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection
CVPR 2026
Momentum Memory for Knowledge Distillation in Computational Pathology
CVPR 2026
MoMo at SemEval-2026 Task 9: Inference-Only Prompting vs. Fine-Tuning for Multilingual Polarization Detection
SemEval 2026
Monet: Reasoning in Latent Visual Space Beyond Image and Language
CVPR 2026
MoodMetric at SemEval-2026 Task 4:Narrative Story Similarity and Narrative Representation Learning
SemEval 2026
MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding
CVPR 2026