Vipul Gupta | DeepAI

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∙ 08/24/2023

CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias

As language models (LMs) become increasingly powerful, it is important t...

0 Vipul Gupta, et al. ∙

∙ 08/17/2023

Semantic Consistency for Assuring Reliability of Large Language Models

Large Language Models (LLMs) exhibit remarkable fluency and competence a...

0 Harsh Raj, et al. ∙

∙ 06/13/2023

Survey on Sociodemographic Bias in Natural Language Processing

Deep neural networks often learn unintended biases during training, whic...

0 Vipul Gupta, et al. ∙

∙ 03/10/2023

Do we need entire training data for adversarial training?

Deep Neural Networks (DNNs) are being used to solve a wide range of prob...

0 Vipul Gupta, et al. ∙

∙ 04/05/2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering

While Visual Question Answering (VQA) has progressed rapidly, previous w...

11 Vipul Gupta, et al. ∙

∙ 05/16/2021

LocalNewton: Reducing Communication Bottleneck for Distributed Learning

To address the communication bottleneck problem in distributed optimizat...

10 Vipul Gupta, et al. ∙

∙ 10/26/2020

BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory

We consider feature selection for applications in machine learning where...

6 Amirali Aghazadeh, et al. ∙

∙ 10/18/2020

Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism

Data Parallelism (DP) and Model Parallelism (MP) are two common paradigm...

8 Vipul Gupta, et al. ∙

∙ 08/18/2020

Utility-based Resource Allocation and Pricing for Serverless Computing

Serverless computing platforms currently rely on basic pricing schemes t...

0 Vipul Gupta, et al. ∙

∙ 01/21/2020

Serverless Straggler Mitigation using Local Error-Correcting Codes

Inexpensive cloud services, such as serverless computing, are often vuln...

0 Vipul Gupta, et al. ∙

∙ 01/07/2020

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

We propose Stochastic Weight Averaging in Parallel (SWAP), an algorithm ...

0 Vipul Gupta, et al. ∙

∙ 03/21/2019

OverSketched Newton: Fast Convex Optimization for Serverless Systems

Motivated by recent developments in serverless systems for large-scale m...

0 Vipul Gupta, et al. ∙

∙ 11/06/2018

OverSketch: Approximate Matrix Multiplication for the Cloud

We propose OverSketch, an approximate algorithm for distributed matrix m...

0 Vipul Gupta, et al. ∙

∙ 10/24/2017

A Sequential Approximation Framework for Coded Distributed Optimization

Building on the previous work of Lee et al. and Ferdinand et al. on code...

0 Jingge Zhu, et al. ∙

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