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)
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
ACL 2026
How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity
ACL 2026
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
ACL 2026
HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning
ACL 2026
HU at SemEval-2026 Task 10: Psycholinguistic Conspiracy Marker Extraction and Detection
SemEval 2026
Hugging Visual Prompt and Segmentation Tokens: Consistency Learning for Fine-Grained Visual Understanding in MLLMs
CVPR 2026
Human-Centric Multi-Exposure Fusion: Benchmark and Bi-level Cognition Distillation Framework
CVPR 2026
Humanoid Generative Pre-Training for Zero-Shot Motion Tracking
CVPR 2026
HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
CVPR 2026
Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection
CVPR 2026
HUS@NLP-VNU at SemEval-2026 Task 3: Dual-Stream Syntax-Aware Modeling and Direct Preference Optimization for Dimensional ABSA
SemEval 2026
Hybrid Agents for Image Restoration
CVPR 2026
HybridDriveVLA: Vision-Language-Action Model with Visual CoT reasoning and ToT Evaluation for Autonomous Driving
CVPR 2026
Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification
CVPR 2026
Hyperbolic Gramian Volumes for Multimodal Alignment
CVPR 2026
Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation
CVPR 2026
HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
MIDL 2026
HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork
CVPR 2026
HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated code
SemEval 2026
HySeg: Learning Generative Priors for Structure-Aware Remote Sensing Segmentation
CVPR 2026
I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing
ACL 2026
IAFMNet: Information-Aware Feature Modulation for Efficient Super-Resolution
CVPR 2026
IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding
CVPR 2026
ICI Innolabs at SemEval-2026 Task 13: Sliding Windows Meet Code Transformers
SemEval 2026
ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation
MIDL 2026