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)
Log-Linear System Combination Using Structured Support Vector Machines
Interspeech 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
CVPR 2016
Loss Functions for Top-k Error: Analysis and Insights
CVPR 2016
Loss Minimization and Parameter Estimation with Heavy Tails
JMLR 2016
Lower Frame Rate Neural Network Acoustic Models
Interspeech 2016
Low-Rank and Sparse Structure Pursuit via Alternating Minimization
AISTATS 2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis
JMLR 2016
Low-Rank Regression with Tensor Responses
NeurIPS 2016
Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling
Interspeech 2016
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
ICML 2016
LSTM-Based NeuroCRFs for Named Entity Recognition
Interspeech 2016
MAGES: A Multilingual Angle-integrated Grouping-based Entity Summarization System
COLING 2016
Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System
Interspeech 2016
Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels
CVPR 2016
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development
Interspeech 2016
Markov Latent Feature Models
ICML 2016
Matching Networks for One Shot Learning
NeurIPS 2016
Material Classification Using Raw Time-Of-Flight Measurements
CVPR 2016
Mathematical Information Retrieval based on Type Embeddings and Query Expansion
COLING 2016
Matrix Completion has No Spurious Local Minimum
NeurIPS 2016
Maximal Sparsity with Deep Networks?
NeurIPS 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
AISTATS 2016
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights
CVPR 2016
Megaman: Scalable Manifold Learning in Python
JMLR 2016
MEKA: A Multi-label/Multi-target Extension to WEKA
JMLR 2016