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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)

The Falling Factorial Basis and Its Statistical Applications ICML 2014 The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014 The Gesture Recognition Toolkit JMLR 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 The Inverse Regression Topic Model ICML 2014 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 The Secrets of Salient Object Segmentation CVPR 2014 The Shape-Time Random Field for Semantic Video Labeling CVPR 2014 The Student-t Mixture as a Natural Image Patch Prior with Application to Image Compression JMLR 2014 The Synthesizability of Texture Examples CVPR 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Time-Mapping Using Space-Time Saliency CVPR 2014 Timing-Based Local Descriptor for Dynamic Surfaces CVPR 2014 T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014 To go deep or wide in learning? AISTATS 2014 Topic Modeling of Multimodal Data: An Autoregressive Approach CVPR 2014 Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data ICML 2014