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)
Inferring Concept Prerequisite Relations from Online Educational Resources
AAAI 2019
Inferring Substitutable Products with Deep Network Embedding
IJCAI 2019
INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter
SemEval 2019
Infinite Mixture Prototypes for Few-shot Learning
ICML 2019
Infinite Task Learning in RKHSs
AISTATS 2019
Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues
Interspeech 2019
Information Competing Process for Learning Diversified Representations
NeurIPS 2019
Information Maximizing Visual Question Generation
CVPR 2019
Information-Theoretic Considerations in Batch Reinforcement Learning
ICML 2019
Informative Object Annotations: Tell Me Something I Don't Know
CVPR 2019
Infra-slow brain dynamics as a marker for cognitive function and decline
NeurIPS 2019
Inherent Weight Normalization in Stochastic Neural Networks
NeurIPS 2019
Inject Rubrics into Short Answer Grading System
EMNLP 2019
Input Similarity from the Neural Network Perspective
NeurIPS 2019
INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features
SemEval 2019
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing
EMNLP 2019
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression
ICCV 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
CVPR 2019
Instantaneous Phase and Long-Term Acoustic Cues for Orca Activity Detection
Interspeech 2019
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
NeurIPS 2019
Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature
EMNLP 2019
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
NAACL 2019
Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019
Interspeech 2019
Intention Oriented Image Captions With Guiding Objects
CVPR 2019
Interaction-Aware Factorization Machines for Recommender Systems
AAAI 2019