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)
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
AISTATS 2018
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
NeurIPS 2018
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
MLHC 2018
Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution
NAACL 2018
Integrating Question Classification and Deep Learning for improved Answer Selection
COLING 2018
Integrating Recurrence Dynamics for Speech Emotion Recognition
Interspeech 2018
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation
Interspeech 2018
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts
COLING 2018
Integration complexity and the order of cosisters
EMNLP 2018
Integrative Network Embedding via Deep Joint Reconstruction
IJCAI 2018
Intent Discovery Through Unsupervised Semantic Text Clustering
Interspeech 2018
Inter and Intra Topic Structure Learning with Word Embeddings
ICML 2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
ACL 2018
Interpretable Convolutional Neural Networks
CVPR 2018
Interpretable Latent Spaces for Learning from Demonstration
CoRL 2018
Interpretable Rationale Augmented Charge Prediction System
COLING 2018
Interpretable Word Embedding Contextualization
EMNLP 2018
Interpretation of Implicit Conditions in Database Search Dialogues
COLING 2018
Interpreting Neural Network Hate Speech Classifiers
EMNLP 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
NeurIPS 2018
Interpreting Neural Networks with Nearest Neighbors
EMNLP 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
EMNLP 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
EMNLP 2018
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth
AISTATS 2018
Intervals of Causal Effects for Learning Causal Graphical Models
PGM 2018