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 Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
COLING 2018
Learning Temporal Point Processes via Reinforcement Learning
NeurIPS 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
ACL 2018
Learning to Automatically Generate Fill-In-The-Blank Quizzes
ACL 2018
Learning to Compare: Relation Network for Few-Shot Learning
CVPR 2018
Learning to Control the Specificity in Neural Response Generation
ACL 2018
Learning to Count Objects in Natural Images for Visual Question Answering
ICLR 2018
Learning to Decompose and Disentangle Representations for Video Prediction
NeurIPS 2018
Learning to Detect Features in Texture Images
CVPR 2018
Learning to Embed Semantic Correspondence for Natural Language Understanding
CoNLL 2018
Learning to Evaluate Image Captioning
CVPR 2018
Learning to Explain Ambiguous Headlines of Online News
IJCAI 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
ICML 2018
Learning to Find Good Correspondences
CVPR 2018
Learning to Generate Word Representations using Subword Information
COLING 2018
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays
IJCAI 2018
Learning to Infer Graphics Programs from Hand-Drawn Images
NeurIPS 2018
Learning To Learn Around A Common Mean
NeurIPS 2018
Learning to Map Context-Dependent Sentences to Executable Formal Queries
NAACL 2018
Learning to Multitask
NeurIPS 2018
Learning to Promote Saliency Detectors
CVPR 2018
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering
NAACL 2018
Learning to Reason with Third Order Tensor Products
NeurIPS 2018
Learning to Recognize Transient Sound Events using Attentional Supervision
IJCAI 2018
Learning to Represent Programs with Graphs
ICLR 2018