no code implementations • 29 Apr 2021 • Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
We specifically consider neural solvers for the generalized 3D Poisson equation over megavoxel domains.
1 code implementation • 18 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.
no code implementations • 21 Oct 2020 • Vinay Rao, Jascha Sohl-Dickstein
We perform an extensive empirical study of the statistical properties of Batch Norm and other common normalizers.
2 code implementations • 30 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).
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.
no code implementations • 11 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.
no code implementations • 10 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.