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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)

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction CVPR 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Fast Computation of Wasserstein Barycenters ICML 2014 Fast Distribution To Real Regression AISTATS 2014 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Fast matrix completion without the condition number COLT 2014 Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Fast SVM Training Using Approximate Extreme Points JMLR 2014 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014 Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014 Fine-Grained Visual Comparisons with Local Learning CVPR 2014 Fisher and VLAD with FLAIR CVPR 2014 Flexible Transfer Learning under Support and Model Shift NeurIPS 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014