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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)

Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014 Structured Prediction of Network Response ICML 2014 Structured Prediction via Output Space Search JMLR 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Structure Regularization for Structured Prediction NeurIPS 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 Subspace Clustering for Sequential Data CVPR 2014 Subspace Embeddings for the Polynomial Kernel NeurIPS 2014 Support vector machines with indefinite kernels ACML 2014 Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014 Tell Me What You See and I will Show You Where It Is CVPR 2014 Temporal Sequence Modeling for Video Event Detection CVPR 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 Testing Unfaithful Gaussian Graphical Models NeurIPS 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Coherent Loss Function for Classification ICML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014