ISCA'20 - Session 6A - JPEG-ACT: Accelerating Deep Learning via Transform-Based Lossy Compression
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
IJCNN 2021 Tutorial: Accelerating Deep Learning Computation
Stanford Seminar - Song Han of Stanford University
Towards Neuromorphic Acceleration through Register-Streaming [..] - Simone Manoni, Uni Bologna
Dirichlet Pruning for Neural Network Compression | AISC
[TA 補充課] Network Compression (2/2): Network Pruning (由助教劉俊緯同學講授)
tinyML Summit 2020 - Changkyu Choi Lab Director: Deep Model Compression and ...
Accelerating Deep Learning for Embedded Vision at the Edge
Paraphrasing Complex Network: Network Compression via Factor Transfer
A High-Speed CNN Hardware Accelerator with Regular Pruning
CVPR 2019 Oral Session 2-1A: Deep Learning
Quantization in Neural Networks - May 27, 2020
PR-267: MultiCAM:Multiple class activation mapping for aircraft recognition in remote sensing images
[REFAI Seminar 11/11/21] Energy-Efficient AI ASIC Designs: CNN Accelerator and LSTM Accelerator
Compact Neural Representation Using Attentive Network Pruning | AISC
Lecture 15 | Efficient Methods and Hardware for Deep Learning
HC30-S7: Machine Learning I
Towards the Limits of Binary Neural Networks - Series of Work (ECCV2018, CVPR2020, ECCV2020)
Heteroskedastic Geospatial Tracking with Distributed Camera Networks - ArXiv:2306.02407