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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
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Papers (including subtopics)

Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images CVPR 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Tree Quantization for Large-Scale Similarity Search and Classification CVPR 2015 Trend Filtering on Graphs AISTATS 2015 TRIC-track: Tracking by Regression With Incrementally Learned Cascades ICCV 2015 Truthful Linear Regression COLT 2015 Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction ICCV 2015 Two-stage sampled learning theory on distributions AISTATS 2015 Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015 Understanding and Predicting Image Memorability at a Large Scale ICCV 2015 Understanding Classifier Errors by Examining Influential Neighbors CVPR 2015 Understanding Deep Image Representations by Inverting Them CVPR 2015 Understanding Everyday Hands in Action From RGB-D Images ICCV 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Understanding Image Virality CVPR 2015 Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition CVPR 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 Universal Value Function Approximators ICML 2015 Unsupervised Domain Adaptation for Zero-Shot Learning ICCV 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics ICCV 2015 Unsupervised Learning of Visual Representations Using Videos ICCV 2015 Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations ICML 2015 Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection CVPR 2015