Search Results for author: Siddharth Jain

Found 11 papers, 3 papers with code

The Next 700 ML-Enabled Compiler Optimizations

1 code implementation17 Nov 2023 S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta

There is a growing interest in enhancing compiler optimizations with ML models, yet interactions between compilers and ML frameworks remain challenging.

Omitted Labels in Causality: A Study of Paradoxes

no code implementations12 Nov 2023 Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck

We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels.

Causal Inference

Expert Graphs: Synthesizing New Expertise via Collaboration

no code implementations15 Jul 2021 Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck

Consider multiple experts with overlapping expertise working on a classification problem under uncertain input.

A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages

1 code implementation EACL 2021 Anoop Kunchukuttan, Siddharth Jain, Rahul Kejriwal

We take up the task of large-scale evaluation of neural machine transliteration between English and Indic languages, with a focus on multilingual transliteration to utilize orthographic similarity between Indian languages.

Translation Transliteration

Robust Correction of Sampling Bias Using Cumulative Distribution Functions

1 code implementation NeurIPS 2020 Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck

Varying domains and biased datasets can lead to differences between the training and the target distributions, known as covariate shift.

CodNN -- Robust Neural Networks From Coded Classification

no code implementations22 Apr 2020 Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Jiang

By our approach, either the data or internal layers of the DNN are coded with error correcting codes, and successful computation under noise is guaranteed.

Autonomous Driving Classification +1

What is the Value of Data? On Mathematical Methods for Data Quality Estimation

no code implementations9 Jan 2020 Netanel Raviv, Siddharth Jain, Jehoshua Bruck

Data is one of the most important assets of the information age, and its societal impact is undisputed.

Active Learning

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