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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)

Approximate Nearest Neighbor Fields in Video CVPR 2015 Approximating Sparse PCA from Incomplete Data NeurIPS 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning ICML 2015 A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NeurIPS 2015 A PTAS for Agnostically Learning Halfspaces COLT 2015 A Randomized Ensemble Approach to Industrial CT Segmentation ICCV 2015 A Recurrent Latent Variable Model for Sequential Data NeurIPS 2015 A Reduced-Dimension fMRI Shared Response Model NeurIPS 2015 A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors CVPR 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015 A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis CVPR 2015 A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015 A Structural Smoothing Framework For Robust Graph Comparison NeurIPS 2015 A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015 A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015 A Topic Modeling Approach to Ranking AISTATS 2015 A totally unimodular view of structured sparsity AISTATS 2015 Attention-Based Models for Speech Recognition NeurIPS 2015 Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NeurIPS 2015 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 Attribute-Graph: A Graph Based Approach to Image Ranking ICCV 2015