4 citations · 4 across the 2 of their papers we have counts for
8 papers
GTN-ED: Event Detection Using Graph Transformer Networks
Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha +3
Recent works show that the graph structure of sentences, generated from dependency parsers, has potential for improving event detection. However, they often only leverage the edges…
Slow and Stale Gradients Can Win the Race
Sanghamitra Dutta, Jianyu Wang, Gauri Joshi
Distributed Stochastic Gradient Descent (SGD) when run in a synchronous manner, suffers from delays in runtime as it waits for the slowest workers (stragglers). Asynchronous method…
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel +3
A trade-off between accuracy and fairness is almost taken as a given in the existing literature on fairness in machine learning. Yet, it is not preordained that accuracy should dec…
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors
Sanghamitra Dutta, Ziqian Bai, Tze Meng Low +1
This work proposes the first strategy to make distributed training of neural networks resilient to computing errors, a problem that has remained unsolved despite being first posed…
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation
Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari +5
We propose a novel application of coded computing to the problem of the nearest neighbor estimation using MatDot Codes [Fahim. et.al. 2017], that are known to be optimal for matrix…
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication
Sanghamitra Dutta, Ziqian Bai, Haewon Jeong +2
This paper has two contributions. First, we propose a novel coded matrix multiplication technique called Generalized PolyDot codes that advances on existing methods for coded matri…