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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)

Affinity Weighted Embedding ICML 2014 A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014 A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014 Alternating Minimization for Mixed Linear Regression ICML 2014 A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions CVPR 2014 A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NeurIPS 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 An Autoencoder Approach to Learning Bilingual Word Representations NeurIPS 2014 An Automated Estimator of Image Visual Realism Based on Human Cognition CVPR 2014 An Efficient Algorithm for Large Scale Compressive Feature Learning AISTATS 2014 An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014 A New Perspective on Material Classification and Ink Identification CVPR 2014 An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014 An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014 An Information Geometry of Statistical Manifold Learning ICML 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 Anomaly Ranking as Supervised Bipartite Ranking ICML 2014 An Online Learned Elementary Grouping Model for Multi-target Tracking CVPR 2014