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)
Multi-class Novelty Detection Using Mix-up Technique
WACV 2020
Multi-Component Graph Convolutional Collaborative Filtering
AAAI 2020
Multidimensional Analysis of Trust in News Articles (Student Abstract)
AAAI 2020
Multi-Dimensional Gender Bias Classification
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Multi-Domain Dialogue Acts and Response Co-Generation
ACL 2020
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation
AAAI 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts
IJCAI 2020
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification
CVPR 2020
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
IJCAI 2020
Multi-Label Causal Feature Selection
AAAI 2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
NeurIPS 2020
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
NeurIPS 2020
Multi-label classification of promotions in digital leaflets using textual and visual information
COLING 2020
Multi-Label Classification with Label Graph Superimposing
AAAI 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
IJCAI 2020
Multi-Label Visual Feature Learning with Attentional Aggregation
WACV 2020
Multi-level Gaussian Graphical Models Conditional on Covariates
AISTATS 2020
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching
AAAI 2020
Multi-Level Representation Learning for Deep Subspace Clustering
WACV 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
ICML 2020
Multilingual Acoustic and Language Modeling for Ethio-Semitic Languages
Interspeech 2020
Multilingual Jointly Trained Acoustic and Written Word Embeddings
Interspeech 2020
Multilingual Speech Recognition Using Language-Specific Phoneme Recognition as Auxiliary Task for Indian Languages
Interspeech 2020
Multilingual Universal Sentence Encoder for Semantic Retrieval
ACL 2020