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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)

Consistency of weighted majority votes NeurIPS 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NeurIPS 2014 Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014 Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies AISTATS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014 Convolutional Kernel Networks NeurIPS 2014 Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos JMLR 2014 Convolutional Neural Network Architectures for Matching Natural Language Sentences NeurIPS 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment CVPR 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Cross-Scale Cost Aggregation for Stereo Matching CVPR 2014 Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning CVPR 2014 Data-driven Flower Petal Modeling with Botany Priors CVPR 2014 Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising CVPR 2014 Decontamination of Mutually Contaminated Models AISTATS 2014 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Deep AutoRegressive Networks ICML 2014 Deep Boosting ICML 2014