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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)

Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering ACML 2015
Autoencoder Trees ACML 2015
One-Pass Multi-View Learning ACML 2015
Largest Source Subset Selection for Instance Transfer ACML 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures AISTATS 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015
Near-optimal max-affine estimators for convex regression AISTATS 2015
Convex Multi-Task Learning by Clustering AISTATS 2015
Sparse Solutions to Nonnegative Linear Systems and Applications AISTATS 2015
Generalized Linear Models for Aggregated Data AISTATS 2015
Implementable confidence sets in high dimensional regression AISTATS 2015
One-bit Compressed Sensing with the k-Support Norm AISTATS 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
A totally unimodular view of structured sparsity AISTATS 2015
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015
Graph Approximation and Clustering on a Budget AISTATS 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling AISTATS 2015
Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015
Metric recovery from directed unweighted graphs AISTATS 2015