Mostafa El-Khamy | DeepAI

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Featured Co-authors

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∙ 08/12/2023

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Transfer learning via fine-tuning pre-trained transformer models has gai...

0 Sara Babakniya, et al. ∙

∙ 10/26/2022

Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization

We propose a novel method for training a conditional generative adversar...

0 Yoojin Choi, et al. ∙

∙ 10/11/2022

Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks

Most existing works on continual learning (CL) focus on overcoming the c...

0 Sijia Wang, et al. ∙

∙ 06/17/2021

Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay

This paper proposes two novel knowledge transfer techniques for class-in...

13 Yoojin Choi, et al. ∙

∙ 04/27/2021

Towards Fair Federated Learning with Zero-Shot Data Augmentation

Federated learning has emerged as an important distributed learning para...

7 Weituo Hao, et al. ∙

∙ 12/03/2020

MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It

MLPerf Mobile is the first industry-standard open-source mobile benchmar...

8 Vijay Janapa Reddi, et al. ∙

∙ 08/13/2020

WAFFLe: Weight Anonymized Factorization for Federated Learning

In domains where data are sensitive or private, there is great value in ...

16 Weituo Hao, et al. ∙

∙ 05/08/2020

Data-Free Network Quantization With Adversarial Knowledge Distillation

Network quantization is an essential procedure in deep learning for deve...

12 Yoojin Choi, et al. ∙

∙ 12/10/2019

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

Video-to-video translation for super-resolution, inpainting, style trans...

20 Ryan Szeto, et al. ∙

∙ 10/23/2019

End-to-End Multi-Task Denoising for the Joint Optimization of Perceptual Speech Metrics

Although supervised learning based on a deep neural network has recently...

0 Jaeyoung Kim, et al. ∙

∙ 10/13/2019

T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement

Transformer neural networks (TNN) demonstrated state-of-art performance ...

0 Jaeyoung Kim, et al. ∙

∙ 10/13/2019

Transformer with Gaussian weighted self-attention for speech enhancement

The Transformer architecture recently replaced recurrent neural networks...

0 Jaeyoung Kim, et al. ∙

∙ 09/11/2019

Variable Rate Deep Image Compression With a Conditional Autoencoder

In this paper, we propose a novel variable-rate learned image compressio...

6 Yoojin Choi, et al. ∙

∙ 06/11/2019

TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching

In this paper, we introduce the problem of estimating the real world dep...

9 Mostafa El-Khamy, et al. ∙

∙ 06/07/2019

Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding

Single image depth estimation (SIDE) plays a crucial role in 3D computer...

0 Haoyu Ren, et al. ∙

∙ 05/27/2019

Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning

A new variational autoencoder (VAE) model is proposed that learns a succ...

0 J. Jon Ryu, et al. ∙

∙ 04/19/2019

AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks

In this paper, a new deep learning architecture for stereo disparity est...

10 Xianzhi Du, et al. ∙

∙ 02/21/2019

Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains

We consider the optimization of deep convolutional neural networks (CNNs...

0 Yoojin Choi, et al. ∙

∙ 10/16/2018

DN-ResNet: Efficient Deep Residual Network for Image Denoising

A deep learning approach to blind denoising of images without complete k...

0 Haoyu Ren, et al. ∙

∙ 09/01/2018

Learning Low Precision Deep Neural Networks through Regularization

We consider the quantization of deep neural networks (DNNs) to produce l...

0 Yoojin Choi, et al. ∙

∙ 05/21/2018

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints

We consider the optimization of deep convolutional neural networks (CNNs...

0 Yoojin Choi, et al. ∙

∙ 02/07/2018

Universal Deep Neural Network Compression

Compression of deep neural networks (DNNs) for memory- and computation-e...

0 Yoojin Choi, et al. ∙

∙ 11/11/2017

CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution

We propose methodologies to train highly accurate and efficient deep con...

0 Haoyu Ren, et al. ∙

∙ 10/27/2017

BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition

Despite the remarkable progress achieved on automatic speech recognition...

0 Jaeyoung Kim, et al. ∙

∙ 01/10/2017

Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition

In this paper, a novel architecture for a deep recurrent neural network,...

0 Jaeyoung Kim, et al. ∙

∙ 12/05/2016

Towards the Limit of Network Quantization

Network quantization is one of network compression techniques to reduce ...

0 Yoojin Choi, et al. ∙

∙ 10/11/2016

Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection

We propose a deep neural network fusion architecture for fast and robust...

0 Xianzhi Du, et al. ∙

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