1.2k citations · 1.7k across the 10 of their papers we have counts for
4 papers · 1 filter
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
Parker Riley, Noah Constant, Mandy Guo +3
We present a novel approach to the problem of text style transfer. Unlike previous approaches requiring style-labeled training data, our method makes use of readily-available unlab…
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Zarana Parekh, Jason Baldridge, Daniel Cer +2
By supporting multi-modal retrieval training and evaluation, image captioning datasets have spurred remarkable progress on representation learning. Unfortunately, datasets have lim…
Learning a Multi-Domain Curriculum for Neural Machine Translation
Wei Wang, Ye Tian, Jiquan Ngiam +3
Most data selection research in machine translation focuses on improving a single domain. We perform data selection for multiple domains at once. This is achieved by carefully intr…
ExCL: Extractive Clip Localization Using Natural Language Descriptions
Soham Ghosh, Anuva Agarwal, Zarana Parekh +1
The task of retrieving clips within videos based on a given natural language query requires cross-modal reasoning over multiple frames. Prior approaches such as sliding window clas…