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09/21/2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with...
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11/15/2022
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers
While vision transformers (ViTs) have continuously achieved new mileston...
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11/02/2022
The Lottery Ticket Hypothesis for Vision Transformers
The conventional lottery ticket hypothesis (LTH) claims that there exist...
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07/04/2022
Quantum Neural Network Compression
Model compression, such as pruning and quantization, has been widely app...
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05/11/2020
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks
Recurrent neural networks (RNNs) have been widely adopted in temporal se...
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02/19/2020
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
Recurrent neural networks (RNNs) based automatic speech recognition has ...
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11/19/2019
