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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)

Convex formulations of radius-margin based Support Vector Machines ICML 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013
A Machine Learning Framework for Programming by Example ICML 2013
Discriminatively Activated Sparselets ICML 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013
Fixed-Point Model For Structured Labeling ICML 2013
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization ICML 2013
Principal Component Analysis on non-Gaussian Dependent Data ICML 2013
Learning Optimally Sparse Support Vector Machines ICML 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model ICML 2013
Maximum Variance Correction with Application to A* Search ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Feature Selection in High-Dimensional Classification ICML 2013
Human Boosting ICML 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013
A New Frontier of Kernel Design for Structured Data ICML 2013
Learning with Marginalized Corrupted Features ICML 2013
Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013
General Functional Matrix Factorization Using Gradient Boosting ICML 2013
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013
A Generalized Kernel Approach to Structured Output Learning ICML 2013
Efficient Active Learning of Halfspaces: an Aggressive Approach ICML 2013
Online Feature Selection for Model-based Reinforcement Learning ICML 2013