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)
Multiresolution Matrix Compression
AISTATS 2016
Multiscale Adaptive Representation of Signals: I. The Basic Framework
JMLR 2016
Multi-scale Classification using Localized Spatial Depth
JMLR 2016
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness
JMLR 2016
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
CVPR 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
CVPR 2016
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting
Interspeech 2016
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy
MLHC 2016
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests
MLHC 2016
Multitask Principal Component Analysis
ACML 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models
JMLR 2016
Multivariate Spearman's ρ for Aggregating Ranks Using Copulas
JMLR 2016
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
NeurIPS 2016
Multi-View Deep Network for Cross-View Classification
CVPR 2016
Mutual Information Based Matching for Causal Inference with Observational Data
JMLR 2016
Native Language Identification Using Spectral and Source-Based Features
Interspeech 2016
Nearly Isometric Embedding by Relaxation
NeurIPS 2016
Nearly Optimal Classification for Semimetrics
AISTATS 2016
Near Optimal Behavior via Approximate State Abstraction
ICML 2016
Nested Mini-Batch K-Means
NeurIPS 2016
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection
Interspeech 2016
Neural-based Noise Filtering from Word Embeddings
COLING 2016
Neural Paraphrase Generation with Stacked Residual LSTM Networks
COLING 2016
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
NeurIPS 2016
New Perspectives on k-Support and Cluster Norms
JMLR 2016