no code implementations • 7 Apr 2023 • Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri
Several benchmarks have recently emerged to evaluate the ability of LLMs to generate functionally correct code from natural language intent with respect to a set of hidden test cases.
2 code implementations • 8 Nov 2021 • Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh
TACCL uses a novel communication sketch abstraction to get crucial information from the designer to significantly reduce the search space and guide the synthesizer towards better algorithms.
no code implementations • 18 Nov 2020 • Sharadha Srinivasan, Madan Musuvathi
In recent times, there have been increasing accusations on artificial intelligence systems and algorithms of computer vision of possessing implicit biases.
no code implementations • 4 Jun 2020 • Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum
This paper introduces a novel method to combine gradients called Adasum (for adaptive sum) that converges faster than prior work.
no code implementations • 8 Sep 2019 • Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
This paper presents a distributed training framework for a class of applications that use Skip-gram-like models to generate embeddings.