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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)

Cross-Age Face Verification by Coordinating With Cross-Face Age Verification CVPR 2015 Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network ICCV 2015 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015 Curriculum Learning of Bayesian Network Structures ACML 2015 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 Data-Driven Online Decision Making for Autonomous Manipulation RSS 2015 Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain CVPR 2015 Data modeling with the elliptical gamma distribution AISTATS 2015 Dealing with small data: On the generalization of context trees ICML 2015 Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015 DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection CVPR 2015 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Deep Convolutional Neural Fields for Depth Estimation From a Single Image CVPR 2015 Deep Correlation for Matching Images and Text CVPR 2015 DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving ICCV 2015 DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection CVPR 2015 Deep Edge-Aware Filters ICML 2015 Deep Hashing for Compact Binary Codes Learning CVPR 2015 Deep Hierarchical Parsing for Semantic Segmentation CVPR 2015 Deep Knowledge Tracing NeurIPS 2015 Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015 Deeply Learned Face Representations Are Sparse, Selective, and Robust CVPR 2015 Deeply Learning the Messages in Message Passing Inference NeurIPS 2015 Deeply-Supervised Nets AISTATS 2015