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)
Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization
ACL 2026
Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images Detection
CVPR 2026
Endless World: Real-Time 3D-Aware Long Video Generation
CVPR 2026
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
JMLR 2026
Energy Waveify and Redistribution for Test-Time Adaptation: A Control System Perspective
CVPR 2026
Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy
MIDL 2026
Enhancing Accuracy in Generative Models via Knowledge Transfer
JMLR 2026
Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration
CVPR 2026
Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting
CVPR 2026
Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception
CVPR 2026
Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands Modulator
CVPR 2026
Enhancing Job Evaluation with Data Augmentation and Text Classification
ACL 2026
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
ACL 2026
Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
CVPR 2026
Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
ACL 2026
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
CVPR 2026
Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
ACL 2026
Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection
WACV 2026
Enhancing Spatial Understanding in Image Generation via Reward Modeling
CVPR 2026
Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
CVPR 2026
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
CVPR 2026
Ensemble Diversity Optimization for Subjective Supervision
UAI 2026
EPI Distortion Correction without Opposite Phase Encodings with Unsupervised INR-Based Deformable Registration
MIDL 2026
Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models
CVPR 2026
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
ACL 2026