Publication

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

Related publications (38)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

Graph Chatbot

Chat with Graph Search

BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables

Communication-efficient distributed training of machine learning models

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs

Masked Training of Neural Networks with Partial Gradients

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias

Miss-Optimized Memory Systems: Turning Thousands of Outstanding Misses into Reuse Opportunities

High-Throughput Lossy-to-Lossless 3D Image Compression

Spectral Measurement and Classification in the Era of Big Data

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles