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)
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm
EACL 2017
Online Learning to Rank with Top-k Feedback
JMLR 2017
Online multiclass boosting
NeurIPS 2017
Online Multitask Relative Similarity Learning
IJCAI 2017
Online Nonnegative Matrix Factorization with General Divergences
AISTATS 2017
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
ICML 2017
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
ICML 2017
On Modeling Sense Relatedness in Multi-prototype Word Embedding
IJCNLP 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
NeurIPS 2017
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
NeurIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
NeurIPS 2017
On the Consistency of Ordinal Regression Methods
JMLR 2017
On the Consistency of Quick Shift
NeurIPS 2017
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
JMLR 2017
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation
CVPR 2017
On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals
Interspeech 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
AISTATS 2017
On the Learnability of Fully-Connected Neural Networks
AISTATS 2017
On the Linguistic Relevance of Speech Units Learned by Unsupervised Acoustic Modeling
Interspeech 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
NeurIPS 2017
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification
EACL 2017
On the Troll-Trust Model for Edge Sign Prediction in Social Networks
AISTATS 2017
Open Category Classification by Adversarial Sample Generation
IJCAI 2017
OpenMM: An Open-Source Multimodal Feature Extraction Tool
Interspeech 2017
Open Relation Extraction and Grounding
IJCNLP 2017