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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Low Rank Matrix Completion with Exponential Family Noise COLT 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015
Achieving All with No Parameters: AdaNormalHedge COLT 2015
Correlation Clustering with Noisy Partial Information COLT 2015
Partitioning Well-Clustered Graphs: Spectral Clustering Works! COLT 2015
Fast Mixing for Discrete Point Processes COLT 2015
An Almost Optimal PAC Algorithm COLT 2015
Minimax rates for memory-bounded sparse linear regression COLT 2015
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015
Web Scale Photo Hash Clustering on A Single Machine CVPR 2015
Supervised Discrete Hashing CVPR 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015
Automatic Construction Of Robust Spherical Harmonic Subspaces CVPR 2015
Leveraging Stereo Matching With Learning-Based Confidence Measures CVPR 2015
Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015
Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015
Structural Sparse Tracking CVPR 2015
Attributes and Categories for Generic Instance Search From One Example CVPR 2015
Beyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition CVPR 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement CVPR 2015
Combination Features and Models for Human Detection CVPR 2015