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 to Order Graph Elements with Application to Multilingual Surface Realization
EMNLP 2019
Learning Topic Models by Neighborhood Aggregation
IJCAI 2019
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
NeurIPS 2019
Learning to Predict Novel Noun-Noun Compounds
ACL 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
NeurIPS 2019
Learning to Rank for Plausible Plausibility
ACL 2019
Learning to Rank Proposals for Object Detection
ICCV 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
CVPR 2019
Learning to Represent Bilingual Dictionaries
CoNLL 2019
Learning to Represent Edits
ICLR 2019
Learning to Route in Similarity Graphs
ICML 2019
Learning to Sample
CVPR 2019
Learning to Separate Multiple Illuminants in a Single Image
CVPR 2019
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
ICLR 2019
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP
AAAI 2019
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning
Interspeech 2019
Learning to Synthesize Motion Blur
CVPR 2019
Learning to Transfer Relational Representations through Analogy
AAAI 2019
Learning towards Abstractive Timeline Summarization
IJCAI 2019
Learning Trajectory Dependencies for Human Motion Prediction
ICCV 2019
Learning Transformation Synchronization
CVPR 2019
Learning Triggers for Heterogeneous Treatment Effects
AAAI 2019
Learning Two-layer Neural Networks with Symmetric Inputs
ICLR 2019
Learning Unfaithful K-separable Gaussian Graphical Models
JMLR 2019
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
AAAI 2019