Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation

30 September 2022

Papers citing "Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation"

7 / 7 papers shown

Title
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand Hari Prabhat Gupta Rahul Mishra 18 2 0 09 Oct 2024
Camera clustering for scalable stream-based active distillation Dani Manjah Davide Cacciarelli Christophe De Vleeschouwer Benoit Macq 28 0 0 16 Apr 2024
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 11 6 0 06 Oct 2023
A Dataset of Inertial Measurement Units for Handwritten English Alphabets Hari Prabhat Gupta Rahul Mishra 11 0 0 05 Jul 2023
Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning Rahul Mishra Hari Prabhat Gupta Garvit Banga FedML 19 4 0 07 Jun 2023
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 55 50 0 05 Jan 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016