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

'5

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'15

'20

'25

Papers (including subtopics)

Learning Collections of Part Models for Object Recognition CVPR 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions CVPR 2013 Learning Discriminative Part Detectors for Image Classification and Cosegmentation ICCV 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Fair Representations ICML 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning from Human-Generated Lists ICML 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes ICCV 2013 Learning Graphs to Match ICCV 2013 Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching COLT 2013 Learning Hash Codes with Listwise Supervision ICCV 2013 Learning Hash Functions Using Column Generation ICML 2013 Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning invariant features by harnessing the aperture problem ICML 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013 Learning Maximum Margin Temporal Warping for Action Recognition ICCV 2013