Search Results for author: Vinay Rao

Found 7 papers, 2 papers with code

WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web

1 code implementation18 Feb 2021 Robert Ormandi, Mohammad Saleh, Erin Winter, Vinay Rao

We provide baselines for this new dataset and present a case for the importance of human annotation in improving the performance of relation extraction from text found on the web.

Relation Relation Extraction

Assessing The Factual Accuracy of Generated Text

2 code implementations30 May 2019 Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J. Liu

We propose a model-based metric to estimate the factual accuracy of generated text that is complementary to typical scoring schemes like ROUGE (Recall-Oriented Understudy for Gisting Evaluation) and BLEU (Bilingual Evaluation Understudy).

Text Summarization

A Mean Field Theory of Batch Normalization

no code implementations ICLR 2019 Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz

We develop a mean field theory for batch normalization in fully-connected feedforward neural networks.

Reducing Bias in Production Speech Models

no code implementations11 May 2017 Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

Replacing hand-engineered pipelines with end-to-end deep learning systems has enabled strong results in applications like speech and object recognition.

Object Recognition

Active Learning for Speech Recognition: the Power of Gradients

no code implementations10 Dec 2016 Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates

For speech recognition, confidence scores and other likelihood-based active learning methods have been shown to be effective.

Active Learning Informativeness +2

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