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)
Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
CVPR 2026
Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
CVPR 2026
Rectifying Latent Space for Generative Single-Image Reflection Removal
CVPR 2026
Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress
CVPR 2026
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
ACL 2026
ReEfBench: Quantifying the Reasoning Efficiency of LLMs
ACL 2026
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
CVPR 2026
ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation
CVPR 2026
ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models
ACL 2026
ReFTA: Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning
CVPR 2026
RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection
CVPR 2026
Region-Adaptive Sampling for Diffusion Transformers
CVPR 2026
Region-Aware Instance Consistency Learning for Micro-Expression Recognition
CVPR 2026
REGLAT at SemEval-2026 Task 9: Enhancing Arabic Online Polarization Detection Using AraBERT and Synonym Replacement Augmentation
SemEval 2026
Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
CVPR 2026
Reinforcement Learning-based Adaptive Control of Classifier-Free Guidance and Timestep Embeddings in Diffusion Models
WACV 2026
Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment
ACL 2026
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
Reinforcement Learning on Pre-Training Data
ACL 2026
Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning
CVPR 2026
Reinforcing Structured Chain-of-Thought for Video Understanding
CVPR 2026
Reinforcing Video Object Segmentation to Think before it Segments
CVPR 2026
Reliable Clustering Number Estimation for Contrastive Multi-View Clustering
CVPR 2026
Reliev3R: Relieving Feed-forward 3D Reconstruction from Multi-View Geometric Annotations
CVPR 2026
ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation
ACL 2026