Final Program
Date- 14 April, WS-1, Room# 209A
14:00- 14:05- Opening Remarks by Dr. Arijit Ukil
14:05 - 14:45- Keynote by Dr. Arpan Pal
14:45- 15:00- (11683) A Variational Bayesian Inference-Inspired Unrolled Deep Network for Compressed Sensing, Menghong Cai, Jun Fang, Huiping Duan, Xiaoyu Li, Hongbin Li
15:00- 15:30- Panel discussion- "Edge Foundation Model- Too Far or Too Near?"- Dr. Arpan Pal, Dr. Sijia Liu, Dr. Praful Pai, Dr. Shiwei Liu- moderated by Dr. Arijit Ukil
Break
16:00- 16:15- (11840) Dual Knowledge Distillation for Efficient Sound Event Detection, Yang Xiao, Rohan Kumar Das
16:15- 16:30- (11564) DEEP NEURAL NETWORK MODEL COMPRESSION AND SIGNAL PROCESSING, Arijit Ukil, Angshul Majumdar, Antonio J. Jara, Joao Gamma
16:30- 16:45- (11665) A PRE-TRAINING PRUNING STRATEGY FOR ENABLING LIGHTWEIGHT NON-INTRUSIVE LOAD MONITORING ON EDGE DEVICES, Sotirios Athanasoulias, Stavros Sykiotis, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis
16:45- 17:00- (11671) Edge-Optimized Model for Multimedia Classification using Linguistic Metadata, Sunil Bharitkar, Thaddeus Paez
17:00- 17:15- (11693) Structured Lottery Ticket Hypothesis For Effective Deep Neural Network Model Size Reduction, Arijit Ukil, Ishan Sahu, Mridul Biswas, Arpan Pal, Angshul Majumdar
17:15- 17:30- (11722) Embedding Compression for Teacher-to-Student Knowledge Transfer, Yiwei Ding, Alexander Lerch