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)
Learning Personas from Dialogue with Attentive Memory Networks
EMNLP 2018
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
NeurIPS 2018
Learning Plannable Representations with Causal InfoGAN
NeurIPS 2018
Learning Policy Representations in Multiagent Systems
ICML 2018
Learning Portable Symbolic Representations
IJCAI 2018
Learning Prototypical Goal Activities for Locations
ACL 2018
Learning Registered Point Processes from Idiosyncratic Observations
ICML 2018
Learning Representations for Detecting Abusive Language
EMNLP 2018
Learning representations for sentiment classification using Multi-task framework
EMNLP 2018
Learning Scalar Adjective Intensity from Paraphrases
EMNLP 2018
Learning Semantic Representations for Unsupervised Domain Adaptation
ICML 2018
Learning semantic similarity in a continuous space
NeurIPS 2018
Learning Sentence Representations over Tree Structures for Target-Dependent Classification
NAACL 2018
Learning Sequence Encoders for Temporal Knowledge Graph Completion
EMNLP 2018
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
IJCAI 2018
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
NeurIPS 2018
Learning Single-Index Models in Gaussian Space
COLT 2018
Learning SMaLL Predictors
NeurIPS 2018
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
ICLR 2018
Learning Spatial-Aware Regressions for Visual Tracking
CVPR 2018
Learning Spontaneity to Improve Emotion Recognition in Speech
Interspeech 2018
Learning Steady-States of Iterative Algorithms over Graphs
ICML 2018
Learning Structured Dictionaries for Exemplar-based Voice Conversion
Interspeech 2018
Learning Superpixels With Segmentation-Aware Affinity Loss
CVPR 2018
Learning Tag Dependencies for Sequence Tagging
IJCAI 2018