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)
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
CVPR 2026
CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
ACL 2026
Codexa at SemEval-2026 Task 13: Loss Engineering and Diverse Ensemble Strategies for Multi-Class Code Authorship Attribution
SemEval 2026
CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
ACL 2026
CoFiDA-M: Concept-Aware Feature Modulation for Cross-Domain Adaptation with Image-Only Inference
CVPR 2026
CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing
CVPR 2026
Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion
ACL 2026
Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift
UAI 2026
Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG
ACL 2026
CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation
CVPR 2026
ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization
CVPR 2026
CoLoR: The Devil is in Scene Coordinate Regression for Large-Scale Visual Localization
CVPR 2026
Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction
ACL 2026
Comhis at SemEval-2026 Task 4: Embedding-Space Adaptation and LLM-Assisted Inference for Narrative Similarity
SemEval 2026
Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
UAI 2026
Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
ACL 2026
CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning
CVPR 2026
Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
ACL 2026
CompBench: Benchmarking Complex Instruction-guided Image Editing
CVPR 2026
Complementary Prototype Mapping for Efficient Multimodal Anomaly Detection
CVPR 2026
Compositional Steering of Large Language Models with Steering Tokens
ACL 2026
Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization
CVPR 2026
Compositional Transformation Reasoning for Composed Video Retrieval
CVPR 2026
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
ACL 2026
Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
ACL 2026