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01/11/2023
Data Distillation: A Survey
The popularity of deep learning has led to the curation of a vast number...
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06/03/2022
Infinite Recommendation Networks: A Data-Centric Approach
We leverage the Neural Tangent Kernel and its equivalence to training in...
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01/13/2022
On Sampling Collaborative Filtering Datasets
We study the practical consequences of dataset sampling strategies on th...
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07/31/2021
ECLARE: Extreme Classification with Label Graph Correlations
Deep extreme classification (XC) seeks to train deep architectures that ...
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07/11/2021
SVP-CF: Selection via Proxy for Collaborative Filtering Data
We study the practical consequences of dataset sampling strategies on th...
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06/16/2020
Off-policy Bandits with Deficient Support
Learning effective contextual-bandit policies from past actions of a dep...
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05/25/2020
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
We investigate a growing body of work that seeks to improve recommender ...
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11/25/2018
Sequential Variational Autoencoders for Collaborative Filtering
Variational autoencoders were proven successful in domains such as compu...
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11/20/2018
