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)
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response
AISTATS 2014
A Novel M-Estimator for Robust PCA
JMLR 2014
Approximating Hierarchical MV-sets for Hierarchical Clustering
NeurIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
NeurIPS 2014
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions
CVPR 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus
NeurIPS 2014
A Representation Theory for Ranking Functions
NeurIPS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
NeurIPS 2014
A reversible infinite HMM using normalised random measures
ICML 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
NeurIPS 2014
A Safe Screening Rule for Sparse Logistic Regression
NeurIPS 2014
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
ICML 2014
Ask the Image: Supervised Pooling to Preserve Feature Locality
CVPR 2014
Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment
CVPR 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
ICML 2014
A Statistical Decision-Theoretic Framework for Social Choice
NeurIPS 2014
A statistical model for tensor PCA
NeurIPS 2014
A Statistical Perspective on Algorithmic Leveraging
ICML 2014
A Stepwise uncertainty reduction approach to constrained global optimization
AISTATS 2014
A Study on Cross-Population Age Estimation
CVPR 2014
Asymmetrical Gauss Mixture Models for Point Sets Matching
CVPR 2014
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
NeurIPS 2014
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search
CVPR 2014
A Tensor Approach to Learning Mixed Membership Community Models
JMLR 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback
NeurIPS 2014