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, 2018)

A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. - Mahdi Nazemi; Amir Erfan Eshratifar; Massoud Pedram (ISQED, 2018)

Gradient Agreement as an Optimization Objective for Meta-Learning. - Amir Erfan Eshratifar; David Eigen; Massoud Pedram (CoRR, 2018)

A Meta-Learning Approach for Custom Model Training. - Amir Erfan Eshratifar; Mohammad Saeed Abrishami; David Eigen; Massoud Pedram (AAAI, 2019)

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. - Amir Erfan Eshratifar; Amirhossein Esmaili; Massoud Pedram (ISLPED, 2019)

Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Amir Erfan Eshratifar; Amirhossein Esmaili; Massoud Pedram (ISQED, 2019)

Video Person Re-ID: Fantastic Techniques and Where to Find Them. - Priyank Pathak; Amir Erfan Eshratifar; Michael Gormish (CoRR, 2019)

Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract). - Priyank Pathak; Amir Erfan Eshratifar; Michael Gormish (AAAI, 2020)

Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference. - Amir Erfan Eshratifar; Massoud Pedram (ICCD, 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 (ISQED, 2020)

Run-time Deep Model Multiplexing. - Amir Erfan Eshratifar; Massoud Pedram (CoRR, 2020)

Coarse2Fine: a two-stage training method for fine-grained visual classification. - Amir Erfan Eshratifar; David Eigen; Michael Gormish; Massoud Pedram (Mach. Vis. Appl., 2021)

JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. - Amir Erfan Eshratifar; Mohammad Saeed Abrishami; Massoud Pedram (IEEE Trans. Mob. Comput., 2021)

Salient Object-Aware Background Generation using Text-Guided Diffusion Models. - Amir Erfan Eshratifar; João V. B. Soares; Kapil Thadani; Shaunak Mishra; Mikhail Kuznetsov; Yueh-Ning Ku; Paloma de Juan (CVPR Workshops, 2024)

SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval. - Bhavin Jawade; João V. B. Soares; Kapil Thadani; Deen Dayal Mohan; Amir Erfan Eshratifar; Benjamin Culpepper; Paloma de Juan; Srirangaraj Setlur; Venu Govindaraju (WACV, 2025)