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)
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
ICML 2018
Merging Datasets for Aggressive Text Identification
COLING 2018
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
NAACL 2018
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
NeurIPS 2018
Metrics for Deep Generative Models
AISTATS 2018
Middle-Out Decoding
NeurIPS 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
NeurIPS 2018
Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions
EMNLP 2018
Minibatch Gibbs Sampling on Large Graphical Models
ICML 2018
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
ICLR 2018
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
ICML 2018
Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning
AISTATS 2018
Mining on Manifolds: Metric Learning Without Labels
CVPR 2018
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
CVPR 2018
Mining Streaming and Temporal Data: from Representation to Knowledge
IJCAI 2018
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
CVPR 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
ICML 2018
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
IJCAI 2018
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network
SemEval 2018
MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge
SemEval 2018
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
NAACL 2018
Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories
ACL 2018
Mixed Membership Word Embeddings for Computational Social Science
AISTATS 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
NeurIPS 2018
Mixture Matrix Completion
NeurIPS 2018