Skip to content
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
51
357
966
4,853
5,823
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Learning with Marginalized Corrupted Features ICML 2013 Learning with Noisy Labels NeurIPS 2013 Learning without Human Scores for Blind Image Quality Assessment CVPR 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Least Soft-Threshold Squares Tracking CVPR 2013 Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification CVPR 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Linear decision rule as aspiration for simple decision heuristics NeurIPS 2013 Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Local Fisher Discriminant Analysis for Pedestrian Re-identification CVPR 2013 Local Low-Rank Matrix Approximation ICML 2013 Locally Aligned Feature Transforms across Views CVPR 2013 Locally-Linear Learning Machines (L3M) ACML 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013 Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Low-Rank Sparse Coding for Image Classification ICCV 2013 MAD-Bayes: MAP-based Asymptotic Derivations from Bayes ICML 2013 MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use JMLR 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Manifold Preserving Hierarchical Topic Models for Quantization and Approximation ICML 2013