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)
Stein Points
ICML 2018
Step or Not: Discriminator for The Real Instructions in User-generated Recipes
EMNLP 2018
STEVENDU2018’s system in VarDial 2018: Discriminating between Dutch and Flemish in Subtitles
COLING 2018
Stochastic Expectation Maximization with Variance Reduction
NeurIPS 2018
Stochastic Nonparametric Event-Tensor Decomposition
NeurIPS 2018
Stochastic PCA with ℓ_2 and ℓ_1 Regularization
ICML 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
NeurIPS 2018
Stochastic Proximal Algorithms for AUC Maximization
ICML 2018
Stochastic Shake-Shake Regularization for Affective Learning from Speech
Interspeech 2018
Stochastic Three-Composite Convex Minimization with a Linear Operator
AISTATS 2018
Stochastic Video Generation with a Learned Prior
ICML 2018
Stochastic Wasserstein Barycenters
ICML 2018
Stock Price Prediction Using Attention-based Multi-Input LSTM
ACML 2018
Streaming Kernel PCA with Õ(√n) Random Features
NeurIPS 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization
JMLR 2018
Streaming Principal Component Analysis in Noisy Setting
ICML 2018
Streaming word similarity mining on the cheap
EMNLP 2018
Structure-Aware Convolutional Neural Networks
NeurIPS 2018
Structured Control Nets for Deep Reinforcement Learning
ICML 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning
ACML 2018
Structured Local Minima in Sparse Blind Deconvolution
NeurIPS 2018
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
ICML 2018
Structured Representation Learning for Online Debate Stance Prediction
COLING 2018
Structured Set Matching Networks for One-Shot Part Labeling
CVPR 2018
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
CVPR 2018