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)
Objective Evaluation Methods for Chinese Text-To-Speech Systems
Interspeech 2016
Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis
Interspeech 2016
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map
CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
CVPR 2016
On collapsed representation of hierarchical Completely Random Measures
ICML 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification
PGM 2016
On Discriminative Framework for Single Channel Audio Source Separation
Interspeech 2016
One-class classification of point patterns of extremes
JMLR 2016
One Scan 1-Bit Compressed Sensing
AISTATS 2016
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
CVPR 2016
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
NeurIPS 2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
NeurIPS 2016
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
NeurIPS 2016
Online Collaborative Learning for Open-Vocabulary Visual Classifiers
CVPR 2016
Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network
CVPR 2016
Online Learning to Rank with Feedback at the Top
AISTATS 2016
Online Learning With Bayesian Classification Trees
CVPR 2016
Online Learning with Low Rank Experts
COLT 2016
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit
ICML 2016
Online PCA with Optimal Regret
JMLR 2016
Online Sparse Linear Regression
COLT 2016
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles
JMLR 2016
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice
AISTATS 2016
On Mixtures of Markov Chains
NeurIPS 2016
On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training
Interspeech 2016