Naveen Kumar | DeepAI

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∙ 11/10/2021

Biomarker Gene Identification for Breast Cancer Classification

BACKGROUND: Breast cancer has emerged as one of the most prevalent cance...

0 Sheetal Rajpal, et al. ∙

∙ 11/06/2021

Deep Learning Based Model for Breast Cancer Subtype Classification

Breast cancer has long been a prominent cause of mortality among women. ...

0 Sheetal Rajpal, et al. ∙

∙ 11/07/2020

Exploring the limits of Concurrency in ML Training on Google TPUs

Recent results in language understanding using neural networks have requ...

16 Sameer Kumar, et al. ∙

∙ 07/16/2020

COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest-Ray Images

Background and Objective: COVID-19 outbreak was declared as a pandemic o...

16 Sheetal Rajpal, et al. ∙

∙ 11/30/2019

Quantized deep learning models on low-power edge devices for robotic systems

In this work, we present a quantized deep neural network deployed on a l...

0 Anugraha Sinha, et al. ∙

∙ 10/23/2019

Incremental Online Spoken Language Understanding

Spoken Language Understanding (SLU) typically comprises of an automatic ...

0 Prashanth Gurunath Shivakumar, et al. ∙

∙ 10/02/2019

MLPerf Training Benchmark

Machine learning is experiencing an explosion of software and hardware s...

6 Peter Mattson, et al. ∙

∙ 09/21/2019

Scale MLPerf-0.6 models on Google TPU-v3 Pods

The recent submission of Google TPU-v3 Pods to the industry wide MLPerf ...

7 Sameer Kumar, et al. ∙

∙ 04/03/2019

Multimodal Representation Learning using Deep Multiset Canonical Correlation

We propose Deep Multiset Canonical Correlation Analysis (dMCCA) as an ex...

0 Krishna Somandepalli, et al. ∙

∙ 06/13/2017

Device Placement Optimization with Reinforcement Learning

The past few years have witnessed a growth in size and computational req...

0 Azalia Mirhoseini, et al. ∙

∙ 04/16/2017

In-Datacenter Performance Analysis of a Tensor Processing Unit

Many architects believe that major improvements in cost-energy-performan...

0 Norman P. Jouppi, et al. ∙

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