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)
Multiview Triplet Embedding: Learning Attributes in Multiple Maps
ICML 2015
Natural Neural Networks
NeurIPS 2015
Nearly Optimal Private LASSO
NeurIPS 2015
Near-Online Multi-Target Tracking With Aggregated Local Flow Descriptor
ICCV 2015
Near-optimal max-affine estimators for convex regression
AISTATS 2015
Network Granger Causality with Inherent Grouping Structure
JMLR 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
NeurIPS 2015
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
ACML 2015
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
NeurIPS 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
ICML 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
AISTATS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
NeurIPS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
AISTATS 2015
Object Detection by Labeling Superpixels
CVPR 2015
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features
ICCV 2015
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model
ICCV 2015
Objects2action: Classifying and Localizing Actions Without Any Video Example
ICCV 2015
On Consistent Surrogate Risk Minimization and Property Elicitation
COLT 2015
On Deep Multi-View Representation Learning
ICML 2015
One-bit Compressed Sensing with the k-Support Norm
AISTATS 2015
On Elicitation Complexity
NeurIPS 2015
One-Pass Multi-View Learning
ACML 2015
One Shot Learning via Compositions of Meaningful Patches
ICCV 2015
On Greedy Maximization of Entropy
ICML 2015
On Linearly Constrained Minimum Variance Beamforming
JMLR 2015