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)

Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Semantic Labeling of 3D Point Clouds for Indoor Scenes NeurIPS 2011 Semi-supervised Regression via Parallel Field Regularization NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 Sparse Filtering NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Spectral Clustering on a Budget AISTATS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011