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

'10

'15

'20

'25

Papers (including subtopics)

Infinitely Imbalanced Logistic Regression JMLR 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Kernels on Attributed Pointsets with Applications NeurIPS 2007 Large Margin Semi-supervised Learning JMLR 2007 Learnability of Gaussians with Flexible Variances JMLR 2007 Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning Horn Expressions with LOGAN-H JMLR 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Learning to Classify Ordinal Data: The Data Replication Method JMLR 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Margin Trees for High-dimensional Classification JMLR 2007