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Memory-efficient Speech Recognition on Smart Devices

Feb 23, 2021
Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra

* ICASSP 2021 

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AlphaNet: Improved Training of Supernet with Alpha-Divergence

Feb 16, 2021
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra


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CPT: Efficient Deep Neural Network Training via Cyclic Precision

Jan 25, 2021
Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

* Accepted at ICLR 2021 (Spotlight) 

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EVRNet: Efficient Video Restoration on Edge Devices

Dec 03, 2020
Sachin Mehta, Amit Kumar, Fitsum Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra

* Technical report 

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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


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Can Temporal Information Help with Contrastive Self-Supervised Learning?

Nov 25, 2020
Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan Yuille


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KeepAugment: A Simple Information-Preserving Data Augmentation Approach

Nov 23, 2020
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu


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AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Nov 18, 2020
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra


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DNA: Differentiable Network-Accelerator Co-Search

Oct 28, 2020
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin


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One Weight Bitwidth to Rule Them All

Aug 28, 2020
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu

* Accepted at ECCV 2020 Embedded Vision Workshop (Best paper) 

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NASGEM: Neural Architecture Search via Graph Embedding Method

Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen


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Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization

Feb 13, 2020
Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra

* 12 pages, 10 figures, 6 tables 

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Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

Feb 10, 2020
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi

* Accepted by DAC'20 

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Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent

Oct 07, 2019
Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu


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Federated Learning with Non-IID Data

Jun 02, 2018
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra


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Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks

May 30, 2018
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh


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Hello Edge: Keyword Spotting on Microcontrollers

Feb 14, 2018
Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra

* Code available in github at https://github.com/ARM-software/ML-KWS-for-MCU 

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Not All Ops Are Created Equal!

Jan 29, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra

* Accepted at SysML Conference 2018 

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CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Jan 19, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra


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PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training

Jan 12, 2018
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan

* 20 pages, 25 figures 

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Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

Mar 08, 2017
Liangzhen Lai, Naveen Suda, Vikas Chandra


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