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)
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
AAAI 2025
Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents
ACL 2025
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
CVPR 2025
ConText: Driving In-context Learning for Text Removal and Segmentation
ICML 2025
Context-Enhanced Memory-Refined Transformer for Online Action Detection
CVPR 2025
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
EMNLP 2025
ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations
EMNLP 2025
Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features
EMNLP 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
NAACL 2025
Contextures: Representations from Contexts
ICML 2025
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
WACV 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
AAAI 2025
Continuous Diffusion for Mixed-Type Tabular Data
ICLR 2025
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
IJCAI 2025
Continuous Ensemble Weather Forecasting with Diffusion models
ICLR 2025
Continuous prediction of backchannel timing for human-robot interaction
Interspeech 2025
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
CVPR 2025
Continuum Attention for Neural Operators
JMLR 2025
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
ICLR 2025
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection
AAAI 2025
CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation
COLING 2025
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
AAAI 2025
Contrastive Flow Matching
ICCV 2025
Contrastive Functional Principal Component Analysis
AAAI 2025
Contrastive Learning of Image Representations Guided by Spatial Relations
WACV 2025