Supervised Learning
Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces
In the first case, points arrive sequentially, and only a summary can be stored in memory.
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Clustering (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning > Representation Of Examples (0.41)
Geometry-Aware Adaptation for Pretrained Models
Machine learning models--including prominent zero-shot models--are often trained on datasets whose labels are only a small proportion of a larger label space. Such spaces are commonly equipped with a metric that relates the labels via distances between them.
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- Europe > Spain > Catalonia > Barcelona Province > Barcelona (0.04)
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- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.50)
Manifold Structured Prediction
Alessandro Rudi, Carlo Ciliberto, GianMaria Marconi, Lorenzo Rosasco
Neural Information Processing Systems http://nips.cc/
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- North America > United States > Massachusetts (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- Europe > United Kingdom > England > Greater London > London (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.87)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.73)
Learning latent variable structured prediction models with Gaussian perturbations
Neural Information Processing Systems http://nips.cc/
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- North America > United States > Indiana > Tippecanoe County > West Lafayette (0.04)
- North America > United States > Indiana > Tippecanoe County > Lafayette (0.04)
- North America > Canada > Quebec > Montreal (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.52)
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.51)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.46)
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- North America > United States > Massachusetts > Hampshire County > Amherst (0.14)
- North America > Canada (0.04)
- Europe > France > Hauts-de-France > Nord > Lille (0.04)
- Asia > Middle East > Jordan (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.72)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
Model-Agnostic Private Learning
Raef Bassily, Abhradeep Guha Thakurta, Om Dipakbhai Thakkar
Neural Information Processing Systems http://nips.cc/
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- North America > United States > California > Santa Cruz County > Santa Cruz (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Computational Learning Theory (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning > Representation Of Examples (0.34)
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
Nirandika Wanigasekara, Christina Yu
Neural Information Processing Systems http://nips.cc/
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- Asia > Singapore (0.04)
- North America > Canada (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning > Representation Of Examples (0.51)
- Information Technology > Data Science > Data Mining > Big Data (0.48)
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.34)
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.34)
LiftingWeakSupervisionToStructuredPrediction
For labels taking values in a finite metric space, we introduce techniques new to weak supervision based on pseudo-Euclidean embeddings andtensor decompositions, providing anearly-consistent noise rate estimator.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.36)
LiftingWeakSupervisionToStructuredPrediction
For labels taking values in a finite metric space, we introduce techniques new to weak supervision based on pseudo-Euclidean embeddings andtensor decompositions, providing anearly-consistent noise rate estimator.
Country:
- South America > Brazil (0.04)
- North America > United States > Wisconsin > Dane County > Madison (0.04)
- North America > United States > Hawaii > Honolulu County > Honolulu (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Supervised Learning (0.38)