Core Methods
51,083 papers (8 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (22,308)
Classification (15,497)
Regression (5,281)
Clustering (3,809)
Embedding Learning (3,795)
Metric Learning (2,938)
Graph Neural Networks (1,211)
Graphical Models (1,093)
Feature Learning (891)
Kernel Methods (795)
Dimensionality Reduction (780)
Interpretability (512)
Feature Selection (511)
Matrix Factorization (408)
Ranking (315)
Ensemble Methods (300)
Support Vector Machine (295)
Anomaly Detection (281)
Sequence Modeling (244)
Structured Prediction (237)
Sequence Labeling (157)
Topic Modeling (150)
Sparse Coding (140)
Matrix Completion (131)
Neural Networks (114)
Retrieval (105)
Density Estimation (104)
Estimation (83)
Inference (56)
Decision Tree (50)
Feature Extraction (40)
Model Selection (39)
Prediction (35)
Information Extraction (7)
Papers per year
4
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning
COLING 2025
Relative cue weighting in multilingual stop voicing production
Interspeech 2025
Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems
ICLR 2025
Relaxed Rotational Equivariance via G-Biases in Vision
AAAI 2025
Relaxing Binary Constraints in Contrastive Vision-Language Medical Representation Learning
WACV 2025
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training
COLING 2025
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
ICLR 2025
Relevance Scores Calibration for Ranked List Truncation via TMP Adapter
ACL 2025
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity
NAACL 2025
Reliability of Topic Modeling
NAACL 2025
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
AISTATS 2025
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
JMLR 2025
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
CVPR 2025
Remote Blood Pressure Estimation from Facial Videos using Transfer Learning: Leveraging PPG to rPPG Conversion
WACV 2025
Rényi Neural Processes
ICML 2025
Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations
UAI 2025
Repetition Improves Language Model Embeddings
ICLR 2025
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
AAAI 2025
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
AAAI 2025
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
ICCV 2025
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
ICLR 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
ICLR 2025
Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution
EMNLP 2025
Representation-driven Option Discovery in Reinforcement Learning
AAAI 2025
Representation Learning: A Causal Perspective
AAAI 2025