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)
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks
L4DC 2024
string2string: A Modern Python Library for String-to-String Algorithms
ACL 2024
StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information
COLING 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
Structural Inference of Dynamical Systems with Conjoined State Space Models
NeurIPS 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
ACL 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
ICML 2024
Structure-aware Fine-tuning for Code Pre-trained Models
COLING 2024
Structure-based drug design by denoising voxel grids
ICML 2024
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
NeurIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
NeurIPS 2024
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
CVPR 2024
Structured Probabilistic Coding
AAAI 2024
Structuring Clinical Notes of Italian ST-elevation Myocardial Infarction Patients
COLING 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
StrWAEs to Invariant Representations
ICML 2024
Studying Reactions to Stereotypes in Teenagers: an Annotated Italian Dataset
COLING 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
JMLR 2024
StyLitGAN: Image-Based Relighting via Latent Control
CVPR 2024
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
ICLR 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
IJCAI 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NeurIPS 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
ICML 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 2024