research
∙
06/01/2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Text-to-image diffusion models can create stunning images from natural l...
share
research
∙
12/15/2022
Rethinking Vision Transformers for MobileNet Size and Speed
With the success of Vision Transformers (ViTs) in computer vision tasks,...
research
∙
09/22/2022
Layer Freezing Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Recently, sparse training has emerged as a promising paradigm for effici...
research
∙
09/18/2022
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
Processing-in-memory (PIM), an increasingly studied neuromorphic hardwar...
research
∙
06/02/2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization
Neural architecture search (NAS) and network pruning are widely studied ...
research
∙
06/02/2022
EfficientFormer: Vision Transformers at MobileNet Speed
Vision Transformers (ViT) have shown rapid progress in computer vision t...
research
∙
05/12/2022
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are us...
research
∙
10/30/2021
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA
This work targets the commonly used FPGA (field-programmable gate array)...
research
∙
10/30/2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
This work proposes a novel Deep Neural Network (DNN) quantization framew...
research
∙
12/08/2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Deep Neural Networks (DNNs) have achieved extraordinary performance in v...
research
∙
09/16/2020