Search Results for author:
Found 7 papers, 3 papers with code
An Algorithm for Streaming Differentially Private Data
Much of the research in differential privacy has focused on offline applications with the assumption that all data is available at once.
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Privacy concerns have attracted increasing attention in data-driven products due to the tendency of machine learning models to memorize sensitive training data.
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
Unlike previous approaches requiring style-labeled training data, our method makes use of readily-available unlabeled text by relying on the implicit connection in style between adjacent sentences, and uses labeled data only at inference time.
TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling
We present a novel approach to the challenging problem of label-free text style transfer.
A Repository of Conversational Datasets
Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.
BIG-bench Machine Learning
Conversational Response Selection
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Question-Answer Selection in User to User Marketplace Conversations
Sellers in user to user marketplaces can be inundated with questions from potential buyers.
