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

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Papers (including subtopics)

Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003 Variable Selection Using SVM-based Criteria JMLR 2003 Word-Sequence Kernels JMLR 2003 Algorithmic Luckiness JMLR 2002 A Robust Minimax Approach to Classification JMLR 2002 Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002 Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002 Data-dependent margin-based generalization bounds for classification JMLR 2002 Efficient Algorithms for Decision Tree Cross-validation JMLR 2002 Kernel Independent Component Analysis JMLR 2002 Learning Equivalence Classes of Bayesian-Network Structures JMLR 2002 Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries JMLR 2002 Learning Probabilistic Models of Link Structure JMLR 2002 Learning to Construct Fast Signal Processing Implementations JMLR 2002 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002 Memory-Based Shallow Parsing JMLR 2002 Minimal Kernel Classifiers JMLR 2002 On Online Learning of Decision Lists JMLR 2002 Optimal Structure Identification With Greedy Search JMLR 2002 PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002 Recommender Systems Using Linear Classifiers JMLR 2002 Round Robin Classification JMLR 2002 Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002 Shallow Parsing using Specialized HMMs JMLR 2002 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002