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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)

Multiple Instance Learning on Structured Data NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NIPS 2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Sparse Manifold Clustering and Embedding NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Collective Graphical Models NIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011
Learning to Locate Relative Outliers ACML 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Support Vector Machines Under Adversarial Label Noise ACML 2011
Unsupervised Multiple Kernel Learning ACML 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011