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)
Minimal Achievable Sufficient Statistic Learning
ICML 2019
Minimal Sample Subspace Learning: Theory and Algorithms
JMLR 2019
Minimal Variance Sampling in Stochastic Gradient Boosting
NeurIPS 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
COLT 2019
Minimizers of the Empirical Risk and Risk Monotonicity
NeurIPS 2019
Minimum Volume Topic Modeling
AISTATS 2019
Mining Discourse Markers for Unsupervised Sentence Representation Learning
NAACL 2019
Mining Entity Synonyms with Efficient Neural Set Generation
AAAI 2019
Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding
Interspeech 2019
Mining Tweets that refer to TV programs with Deep Neural Networks
EMNLP 2019
MIPT System for World-Level Quality Estimation
ACL 2019
MiSC: Mixed Strategies Crowdsourcing
IJCAI 2019
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
NeurIPS 2019
Misspelling Oblivious Word Embeddings
NAACL 2019
Mitigating Gender and L1 Differences to Improve State and Trait Recognition
Interspeech 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
CVPR 2019
Mitigating Uncertainty in Document Classification
NAACL 2019
Mixture Content Selection for Diverse Sequence Generation
EMNLP 2019
Mixture Density Generative Adversarial Networks
CVPR 2019
Mixture-Kernel Graph Attention Network for Situation Recognition
ICCV 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade
ICML 2019
MixUp as Locally Linear Out-of-Manifold Regularization
AAAI 2019
Mixup Learning Strategies for Text-Independent Speaker Verification
Interspeech 2019
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
IJCAI 2019
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
CVPR 2019