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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)

Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus CVPR 2013 Incremental Semantically Grounded Learning from Demonstration RSS 2013 In Defense of 3D-Label Stereo CVPR 2013 In Defense of Sparsity Based Face Recognition CVPR 2013 Inductive Hashing on Manifolds CVPR 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Initialization-Insensitive Visual Tracking through Voting with Salient Local Features ICCV 2013 Intersecting singularities for multi-structured estimation ICML 2013 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Is There a Procedural Logic to Architecture? CVPR 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Joint Harmonic Functions and Their Supervised Connections JMLR 2013 Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers ICCV 2013 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Keep It Simple And Sparse: Real-Time Action Recognition JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013 Kernel Null Space Methods for Novelty Detection CVPR 2013