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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)

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression ICCV 2015 Discovering States and Transformations in Image Collections CVPR 2015 Discrete Hyper-Graph Matching CVPR 2015 Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction CVPR 2015 Discrete Rényi Classifiers NeurIPS 2015 Discrete Restricted Boltzmann Machines JMLR 2015 Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015 Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning CVPR 2015 Discriminative Learning of Deep Convolutional Feature Point Descriptors ICCV 2015 Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015 Discriminative Pose-Free Descriptors for Face and Object Matching ICCV 2015 Discriminative Robust Transformation Learning NeurIPS 2015 Discriminative Shape From Shading in Uncalibrated Illumination CVPR 2015 Distributed Matrix Completion and Robust Factorization JMLR 2015 Distributionally Robust Logistic Regression NeurIPS 2015 Diversity-Induced Multi-View Subspace Clustering CVPR 2015 Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Domain-Size Pooling in Local Descriptors: DSP-SIFT CVPR 2015 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning ICCV 2015 Effective Learning-Based Illuminant Estimation Using Simple Features CVPR 2015 Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015 Efficient Label Collection for Unlabeled Image Datasets CVPR 2015 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NeurIPS 2015