29 citations · 101 across the 19 of their papers we have counts for
6 papers · 1 filter
Robust Correction of Sampling Bias Using Cumulative Distribution Functions
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. Current approaches for alleviating this oft…
Coding for Optimized Writing Rate in DNA Storage
Siddharth Jain, Farzad Farnoud, Moshe Schwartz +1
A method for encoding information in DNA sequences is described. The method is based on the precision-resolution framework, and is aimed to work in conjunction with a recently sugg…
CodNN -- Robust Neural Networks From Coded Classification
Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya +2
Deep Neural Networks (DNNs) are a revolutionary force in the ongoing information revolution, and yet their intrinsic properties remain a mystery. In particular, it is widely known…
Overinterpretation reveals image classification model pathologies
Brandon Carter, Siddhartha Jain, Jonas Mueller +1
Image classifiers are typically scored on their test set accuracy, but high accuracy can mask a subtle type of model failure. We find that high scoring convolutional neural network…
Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
We introduce Information Condensing Active Learning (ICAL), a batch mode model agnostic Active Learning (AL) method targeted at Deep Bayesian Active Learning that focuses on acquir…
What is the Value of Data? On Mathematical Methods for Data Quality Estimation
Netanel Raviv, Siddharth Jain, Jehoshua Bruck
Data is one of the most important assets of the information age, and its societal impact is undisputed. Yet, rigorous methods of assessing the quality of data are lacking. In this…