Search Results for author:
Found 6 papers, 1 papers with code
Clinical Named Entity Recognition using Contextualized Token Representations
To facilitate various downstream applications using clinical case reports (CCRs), we pre-train two deep contextualized language models, Clinical Embeddings from Language Model (C-ELMo) and Clinical Contextual String Embeddings (C-Flair) using the clinical-related corpus from the PubMed Central.
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
In this paper we propose Flowtron: an autoregressive flow-based generative network for text-to-speech synthesis with control over speech variation and style transfer.
Ranked #1 on
Text-To-Speech Synthesis
on LJSpeech
(Pleasantness MOS metric, using extra
training data)
An Interpretable Model for Scene Graph Generation
We propose an efficient and interpretable scene graph generator.
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge
This article describes the model we built that achieved 1st place in the OpenImage Visual Relationship Detection Challenge on Kaggle.
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
In this paper, we investigate a vision-language embedding as a core representation and show that it leads to better cross-task transfer than standard multi-task learning.
Efficient Media Retrieval from Non-Cooperative Queries
Text is ubiquitous in the artificial world and easily attainable when it comes to book title and author names.
