Search Results for author: Naveen Kumar

Found 12 papers, 3 papers with code

Biomarker Gene Identification for Breast Cancer Classification

no code implementations10 Nov 2021 Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar

CONCLUSIONS: The proposed technique enables us to find a concise and clinically relevant gene signature set.

Classification

Deep Learning Based Model for Breast Cancer Subtype Classification

no code implementations6 Nov 2021 Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

By deploying the combined network of stages 1 and 2, we have been able to attain a mean 10-fold test accuracy of 0. 907 on the TCGA breast cancer dataset.

Classification

Exploring the limits of Concurrency in ML Training on Google TPUs

no code implementations7 Nov 2020 Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing

Recent results in language understanding using neural networks have required training hardware of unprecedentedscale, with thousands of chips cooperating on a single training run.

Benchmark

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

no code implementations30 Nov 2019 Anugraha Sinha, Naveen Kumar, Murukesh Mohanan, MD Muhaimin Rahman, Yves Quemener, Amina Mim, Suzana Ilić

In this work, we present a quantized deep neural network deployed on a low-power edge device, inferring learned motor-movements of a suspended robot in a defined space.

RNN based Incremental Online Spoken Language Understanding

no code implementations23 Oct 2019 Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis Georgiou, Shrikanth Narayanan

We introduce and analyze different recurrent neural network architectures for incremental and online processing of the ASR transcripts and compare it to the existing offline systems.

Automatic Speech Recognition Intent Classification +4

Scale MLPerf-0.6 models on Google TPU-v3 Pods

no code implementations21 Sep 2019 Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou

The recent submission of Google TPU-v3 Pods to the industry wide MLPerf v0. 6 training benchmark demonstrates the scalability of a suite of industry relevant ML models.

Benchmark

Multimodal Representation Learning using Deep Multiset Canonical Correlation

1 code implementation3 Apr 2019 Krishna Somandepalli, Naveen Kumar, Ruchir Travadi, Shrikanth Narayanan

We propose Deep Multiset Canonical Correlation Analysis (dMCCA) as an extension to representation learning using CCA when the underlying signal is observed across multiple (more than two) modalities.

Representation Learning

Device Placement Optimization with Reinforcement Learning

1 code implementation ICML 2017 Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean

Key to our method is the use of a sequence-to-sequence model to predict which subsets of operations in a TensorFlow graph should run on which of the available devices.

Language Modelling Machine Translation +2

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