conftrace_

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

21

30

55

40

51

225

219

249

257

357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

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Papers (including subtopics)

Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012 Bounding the Probability of Error for High Precision Optical Character Recognition JMLR 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012 Clustering Aggregation as Maximum-Weight Independent Set NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Clustering Sparse Graphs NeurIPS 2012 Cocktail Party Processing via Structured Prediction NeurIPS 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Complexity of Bethe Approximation AISTATS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012