Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization

AugViT: Improving Vision Transformer Training by Marrying Attention and Data Augmentation

Device management and network connectivity as missing elements in TinyML landscape

SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation

Classification of Depth-Map Image on AI Microcontroller

FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation

Design and analysis of hardware friendly pruning algorithms to accelerate deep neural networks at the edge

TinyRCE Forward Learning under Tiny Constraints

Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications

MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption