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)
REL-SF4PASS: Panoramic Semantic Segmentation with REL Depth Representation and Spherical Fusion
CVPR 2026
Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement
UAI 2026
Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
CVPR 2026
REMIND: Memorization and Unlearning in LLMs Through the Lens of Input Loss Landscapes
ACL 2026
ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data
CVPR 2026
ReMoT: Reinforcement Learning with Motion Contrast Triplets
CVPR 2026
Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning
ACL 2026
Render-to-Adapt: Unsupervised Personal Adaptation for Gaze Estimation
CVPR 2026
Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
CVPR 2026
ReSAM: Refine, Requery, and Reinforce: Self-Prompting Point-Supervised Segmentation for Remote Sensing Images
CVPR 2026
ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes
CVPR 2026
Residual Connections Harm Generative Representation Learning
CVPR 2026
Residual Diffusion Bridge Model for Image Restoration
CVPR 2026
Resolving the Identity Crisis in Text-to-Image Generation
CVPR 2026
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification
ACL 2026
Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration
CVPR 2026
Rethinking 2D-3D Registration: A Novel Network for High-Value Zone Selection and Representation Consistency Alignment
CVPR 2026
Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning
CVPR 2026
Rethinking Box Supervision: Bias-Free Weakly Supervised Medical Segmentation
CVPR 2026
Rethinking Camera Choice: An Empirical Study on Fisheye Camera Properties in Robotic Manipulation
CVPR 2026
Rethinking Cross-Modal Anchor Alignment for Mitigating Error Accumulation
CVPR 2026
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
ACL 2026
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
ACL 2026
Rethinking Glyph Spatial Information in Font Generation
CVPR 2026
Rethinking Intermediate Representation for VLM-based Robot Manipulation
CVPR 2026