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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)

Live Repetition Counting ICCV 2015 LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene CVPR 2015 Local Causal Discovery of Direct Causes and Effects NeurIPS 2015 Local Convolutional Features With Unsupervised Training for Image Retrieval ICCV 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 Local Identification of Overcomplete Dictionaries JMLR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 Local Subspace Collaborative Tracking ICCV 2015 Logarithmic Time Online Multiclass prediction NeurIPS 2015 Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification ICML 2015 Long-horizon Robotic Search and Classification using Sampling-based Motion Planning RSS 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description CVPR 2015 Love Thy Neighbors: Image Annotation by Exploiting Image Metadata ICCV 2015 Low Dimensional Explicit Feature Maps ICCV 2015 Low-Level Vision by Consensus in a Spatial Hierarchy of Regions CVPR 2015 Low Rank Approximation using Error Correcting Coding Matrices ICML 2015 Low Rank Matrix Completion with Exponential Family Noise COLT 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Low-Rank Tensor Constrained Multiview Subspace Clustering ICCV 2015 MADE: Masked Autoencoder for Distribution Estimation ICML 2015 Majorization-Minimization for Manifold Embedding AISTATS 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 MAP Disparity Estimation Using Hidden Markov Trees ICCV 2015 Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015