Search Results for author: Ashish Agarwal

Found 5 papers, 3 papers with code

Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond

no code implementations8 Mar 2019 Ashish Agarwal, Igor Ganichev

We propose a static loop vectorization optimization on top of high level dataflow IR used by frameworks like TensorFlow.

TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

1 code implementation27 Feb 2019 Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai

TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.

BIG-bench Machine Learning

Hallucinations in Neural Machine Translation

no code implementations27 Sep 2018 Katherine Lee, Orhan Firat, Ashish Agarwal, Clara Fannjiang, David Sussillo

Neural machine translation (NMT) systems have reached state of the art performance in translating text and are in wide deployment.

Data Augmentation Decoder +4

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