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Nikhil Thorat
Researcher at Google
Publications - 8
Citations - 4125
Nikhil Thorat is an academic researcher from Google. The author has contributed to research in topics: Machine translation & Sentence. The author has an hindex of 8, co-authored 8 publications receiving 3068 citations.
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SmoothGrad: removing noise by adding noise
TL;DR: SmoothGrad is introduced, a simple method that can help visually sharpen gradient-based sensitivity maps and lessons in the visualization of these maps are discussed.
Journal ArticleDOI
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: This work proposes a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages using a shared wordpiece vocabulary, and introduces an artificial token at the beginning of the input sentence to specify the required target language.
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Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: The authors propose to add an artificial token at the beginning of the input sentence to specify the required target language, which improves the translation quality of all involved language pairs, even while keeping the total number of model parameters constant.
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Embedding Projector: Interactive Visualization and Interpretation of Embeddings.
Daniel Smilkov,Nikhil Thorat,Charles Nicholson,Emily Reif,Fernanda B. Viégas,Martin Wattenberg +5 more
TL;DR: The Embedding Projector is presented, a tool for interactive visualization and interpretation of embeddings and its applications in recommender systems, NLP, and many other applications.
Journal ArticleDOI
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
TL;DR: GAN Lab is presented, the first interactive visualization tool designed for non-experts to learn and experiment with Generative Adversarial Networks (GANs), a popular class of complex deep learning models.