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)
Directly Comparing the Listening Strategies of Humans and Machines
Interspeech 2016
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series
MLHC 2016
Direct vs. indirect evaluation of distributional thesauri
COLING 2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data
ICML 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
ICML 2016
Discriminative Gaifman Models
NeurIPS 2016
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
CVPR 2016
Discriminative Layered Nonnegative Matrix Factorization for Speech Separation
Interspeech 2016
Discriminatively Embedded K-Means for Multi-View Clustering
CVPR 2016
Discriminative Structure Learning of Arithmetic Circuits
AISTATS 2016
Disease Trajectory Maps
NeurIPS 2016
Disentangling factors of variation in deep representation using adversarial training
NeurIPS 2016
Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement
Interspeech 2016
Disfluency Detection Using a Bidirectional LSTM
Interspeech 2016
Distance Metric Learning for Aspect Phrase Grouping
COLING 2016
Distributed Clustering of Linear Bandits in Peer to Peer Networks
ICML 2016
Distributed Flexible Nonlinear Tensor Factorization
NeurIPS 2016
Distributed Multi-Task Learning
AISTATS 2016
Distributed Representations for Building Profiles of Users and Items from Text Reviews
COLING 2016
Distributional Hypernym Generation by Jointly Learning Clusters and Projections
COLING 2016
Distribution-Matching Embedding for Visual Domain Adaptation
JMLR 2016
Diversity-Promoting Bayesian Learning of Latent Variable Models
ICML 2016
DNN-Based Speaker Clustering for Speaker Diarisation
Interspeech 2016
DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring
Interspeech 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
MLHC 2016