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)
Similarity-Based Content Scoring - How to Make S-BERT Keep Up With BERT
NAACL 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations
AAAI 2022
SimMatch: Semi-Supervised Learning With Similarity Matching
CVPR 2022
Simple and Effective Graph-to-Graph Annotation Conversion
COLING 2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
IJCAI 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning
ICML 2022
Simple data balancing achieves competitive worst-group-accuracy
CLeaR 2022
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
ICLR 2022
Simple Unsupervised Graph Representation Learning
AAAI 2022
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition
COLING 2022
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning
UAI 2022
Simplified Graph Convolution with Heterophily
NeurIPS 2022
Simplified Graph Learning for Inductive Short Text Classification
EMNLP 2022
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
AAAI 2022
Simultaneous Graph Signal Clustering and Graph Learning
ICML 2022
Simultaneous Missing Value Imputation and Structure Learning with Groups
NeurIPS 2022
Single-phase deep learning in cortico-cortical networks
NeurIPS 2022
Single-Stage Visual Relationship Learning using Conditional Queries
NeurIPS 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
COLT 2022
Sinkformers: Transformers with Doubly Stochastic Attention
AISTATS 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NeurIPS 2022
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification
COLING 2022
Size and depth of monotone neural networks: interpolation and approximation
NeurIPS 2022
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
WACV 2022
Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
AISTATS 2022