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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
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Learning to Identify Sentence Parallelism in Student Essays COLING 2016 Learning to Localize Little Landmarks CVPR 2016 Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries COLING 2016 Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation NeurIPS 2016 Learning Tree Structured Potential Games NeurIPS 2016 Learning User Perceived Clusters with Feature-Level Supervision NeurIPS 2016 Learning values across many orders of magnitude NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016 Lifelong Learning with Weighted Majority Votes NeurIPS 2016 Linear Feature Encoding for Reinforcement Learning NeurIPS 2016 Linear Relaxations for Finding Diverse Elements in Metric Spaces NeurIPS 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Linggle Knows: A Search Engine Tells How People Write COLING 2016 Linking losses for density ratio and class-probability estimation ICML 2016 LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Localized Multiple Kernel Learning—A Convex Approach ACML 2016 Locally Linear Embedding for Exemplar-Based Spectral Conversion Interspeech 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Local Sparsity Based Online Dictionary Learning for Environment-Adaptive Speech Enhancement with Nonnegative Matrix Factorization Interspeech 2016 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016 Logistic Boosting Regression for Label Distribution Learning CVPR 2016