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)
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
ICLR 2024
Continuous Invariance Learning
ICLR 2024
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
ICLR 2024
Continuous Product Graph Neural Networks
NeurIPS 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog
COLING 2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
AAAI 2024
Continuous-Time Graph Representation with Sequential Survival Process
AAAI 2024
CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules
EMNLP 2024
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
ICML 2024
ContraSim – Analyzing Neural Representations Based on Contrastive Learning
NAACL 2024
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
CVPR 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
ICML 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
IJCAI 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
AAAI 2024
Contrastive Difference Predictive Coding
ICLR 2024
Contrastive dimension reduction: when and how?
NeurIPS 2024
Contrastive Entity Coreference and Disambiguation for Historical Texts
EMNLP 2024
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
ECCV 2024
Contrastive Learning Drug Response Models from Natural Language Supervision
IJCAI 2024
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
CVPR 2024
Contrastive losses as generalized models of global epistasis
NeurIPS 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery
CVPR 2024
Contrastive Predict-and-Search for Mixed Integer Linear Programs
ICML 2024
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
ICLR 2024