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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)

Beyond Disagreement-Based Agnostic Active Learning NeurIPS 2014 Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores CVPR 2014 Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014 Bibliographic Analysis with the Citation Network Topic Model ACML 2014 Biclustering Using Message Passing NeurIPS 2014 Bio-Artificial Synergies for Grasp Posture Control of Supernumerary Robotic Fingers RSS 2014 Birdsnap: Large-scale Fine-grained Visual Categorization of Birds CVPR 2014 Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014 Blossom Tree Graphical Models NeurIPS 2014 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Boosting multi-step autoregressive forecasts ICML 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014 Capturing Long-tail Distributions of Object Subcategories CVPR 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Circulant Binary Embedding ICML 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014 Classifier Cascades and Trees for Minimizing Feature Evaluation Cost JMLR 2014 Class Proportion Estimation with Application to Multiclass Anomaly Rejection AISTATS 2014 Clothing Co-Parsing by Joint Image Segmentation and Labeling CVPR 2014 Cluster Canonical Correlation Analysis AISTATS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Clustering from Labels and Time-Varying Graphs NeurIPS 2014 Clustering Hidden Markov Models with Variational HEM JMLR 2014