Hello & welcome to my homepage. I am a Research Scientist at Clarifai.

Edge Intelligence

Publications

Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference
  Amir Erfan Eshratifar, Massoud Pedram
  IEEE International Conference on Computer Design, October 2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
  Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
  IEEE International Symposium on Quality Electronics Design, August 2020
Video Person Re-ID: Fantastic Techniques and Where to Find Them
  Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
  AAAI, February 2020
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification
  Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
  Preprint arXiv:1909.02680, January 2020
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
  Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
  IEEE Mobile Computing Journal, October 2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
  Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
  IEEE International Symposium on Low Power Electronics and Design, August 2019
Towards Collaborative Intelligence Friendly Architectures for Deep Learning
  Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
  International Symposium on Quality Electronic Design, March 2019
Gradient Agreement as an Optimization Objective for Meta-Learning
  Amir Erfan Eshratifar, David Eigen, Massoud Pedram
  NeurIPS Meta-Learning Workshop, December 2018
A Meta-Learning Approach for Custom Model Training
  Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
  AAAI, February 2019
Energy and Performance Efficient Computation Offloading for Deep Neural Networks in a Mobile Cloud Computing Environment
  Amir Erfan Eshratifar, Massoud Pedram
  ACM Great Lakes Symposium on VLSI, May 2018
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA
  Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
  International Symposium on Quality Electronic Design, March 2018

News

Oct 2021: Defended my Ph.D. thesis: "Edge-Cloud Collaboration for Enhanced Artificial Intelligence"

Feb 2021: Joined Clarifai as a research scientist!

Jan 2021: Coarse2Fine paper accepted in Machine Vision and Applications journal.

Oct 2020: DNN Multiplexing paper accepted in ICCD conference.

Nov 2019: JointDNN paper accepted in IEEE Mobile Computing journal.

May 2019: BottleNet paper accepted in ISLPED conference.

Jan 2019: Gradient Agreement has been introduced in this book!

Dec 2018: One paper on collaborative intelligence accepted in ISQED conference.

Nov 2018: One paper on meta-learning accepted in NeurIPS 2018 meta-learning workshop. Link

Oct 2018: One paper on meta-learning accepted in AAAI 2019 conference. Link

Events

August 2021: Mocha is my new family member! Mocha, my handsome cat!