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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)

Attributes and Categories for Generic Instance Search From One Example CVPR 2015 Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization ICCV 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 A Unified Multiplicative Framework for Attribute Learning ICCV 2015 A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015 Autoencoder Trees ACML 2015 Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face ICCV 2015 Automatically Discovering Local Visual Material Attributes CVPR 2015 Automatic Concept Discovery From Parallel Text and Visual Corpora ICCV 2015 Automatic Construction Of Robust Spherical Harmonic Subspaces CVPR 2015 Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015 A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online ICCV 2015 A Weighted Sparse Coding Framework for Saliency Detection CVPR 2015 BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NeurIPS 2015 Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Basis Mapping Based Boosting for Object Detection CVPR 2015 Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015 Bayesian and Empirical Bayesian Forests ICML 2015 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015 Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 b-bit Marginal Regression NeurIPS 2015 Best-Buddies Similarity for Robust Template Matching CVPR 2015 Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices ICCV 2015