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05/26/2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Attention-based vision models, such as Vision Transformer (ViT) and its ...
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01/20/2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Low-rank compression is an important model compression strategy for obta...
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01/13/2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
The recently proposed Vision transformers (ViTs) have shown very impress...
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12/05/2022
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition
Long short-term memory (LSTM) is a type of powerful deep neural network ...
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11/07/2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Tucker decomposition is one of the SOTA CNN model compression techniques...
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08/24/2022
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner
Neural network (NN)-based methods have emerged as an attractive approach...
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07/26/2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Advanced tensor decomposition, such as Tensor train (TT) and Tensor ring...
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02/08/2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
Recently deep neural networks have been successfully applied in channel ...
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01/28/2019
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
Deep generative models have been successfully applied to many applicatio...
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04/08/2017