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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013
Large-scale SVD and Manifold Learning JMLR 2013
QuantMiner for Mining Quantitative Association Rules JMLR 2013
Divvy: Fast and Intuitive Exploratory Data Analysis JMLR 2013
GURLS: A Least Squares Library for Supervised Learning JMLR 2013
Multivariate Convex Regression with Adaptive Partitioning JMLR 2013
Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013
Classifying With Confidence From Incomplete Information JMLR 2013
Classifier Selection using the Predicate Depth JMLR 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis JMLR 2013
Joint Harmonic Functions and Their Supervised Connections JMLR 2013
Maximum Mean Discrepancy Imitation Learning RSS 2013
Incremental Semantically Grounded Learning from Demonstration RSS 2013
Topology Constraints in Graphical Models NIPS 2012
Clustering Aggregation as Maximum-Weight Independent Set NIPS 2012
FastEx: Hash Clustering with Exponential Families NIPS 2012
The Bethe Partition Function of Log-supermodular Graphical Models NIPS 2012
Selective Labeling via Error Bound Minimization NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
Super-Bit Locality-Sensitive Hashing NIPS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012
Learning Label Trees for Probabilistic Modelling of Implicit Feedback NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012