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)

Sample-Specific Late Fusion for Visual Category Recognition CVPR 2013 Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Scalable Optimization of Neighbor Embedding for Visualization ICML 2013 Scalable Sparse Subspace Clustering CVPR 2013 Scale Invariant Conditional Dependence Measures ICML 2013 SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images CVPR 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Seeking the Strongest Rigid Detector CVPR 2013 Segment-Tree Based Cost Aggregation for Stereo Matching CVPR 2013 Segregating Event Streams and Noise with a Markov Renewal Process Model JMLR 2013 Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013 Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013 Semantic-Aware Co-indexing for Image Retrieval ICCV 2013 Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion ICML 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Separable Dictionary Learning CVPR 2013 Shape Index Descriptors Applied to Texture-Based Galaxy Analysis ICCV 2013 Sharp analysis of low-rank kernel matrix approximations COLT 2013