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

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55

40

51

225

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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

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Papers (including subtopics)

Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 Discrete Graph Hashing NeurIPS 2014 Discriminative Deep Metric Learning for Face Verification in the Wild CVPR 2014 Discriminative Features via Generalized Eigenvectors ICML 2014 Discriminative Feature-to-Point Matching in Image-Based Localization CVPR 2014 Discriminative Ferns Ensemble for Hand Pose Recognition CVPR 2014 Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014 Discriminative Metric Learning by Neighborhood Gerrymandering NeurIPS 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Distance Encoded Product Quantization CVPR 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Distributed Representations of Sentences and Documents ICML 2014 Distribution-independent Reliable Learning COLT 2014 Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014 Dual-Space Decomposition of 2D Complex Shapes CVPR 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014