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)
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
CVPR 2026
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
CVPR 2026
Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation
CVPR 2026
Right at My Level: A Unified Multilingual Framework for Proficiency-Aware Text Simplification
ACL 2026
RigMo: Unifying Rig and Motion Learning for Generative Animation
CVPR 2026
RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval
CVPR 2026
RINO: Rotation-Invariant Non-Rigid Correspondences
CVPR 2026
RiskProp: Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation
CVPR 2026
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection
ACL 2026
RMAE-ProGRess: Advancing Semantic Segmentation in Unstructured Environments
CVPR 2026
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
WACV 2026
RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction
CVPR 2026
RoboAgent: Chaining Basic Capabilities for Embodied Task Planning
CVPR 2026
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution Can Improve Robust Scene Graph Generation
CVPR 2026
RoboWheel: A Data Engine from Real-World Human Demonstrations for Cross-Embodiment Robotic Learning
CVPR 2026
Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats
CVPR 2026
Robust Promptable Video Object Segmentation
CVPR 2026
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss
JMLR 2026
Role-SynthCLIP: A Role-Play Driven Diverse Synthetic Data Approach
CVPR 2026
RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching
NSDI 2026
RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation
CVPR 2026
Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models
CVPR 2026
RoSAMDepth: Robust Self-supervised Depth Estimation Leveraging Segment Anything Model
CVPR 2026
Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL
ACL 2026
RPGFusion: 4D Radar Prior-Guided Multi-Modal Fusion for 3D Detection
CVPR 2026