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09/23/2022
Faith: An Efficient Framework for Transformer Verification on GPUs
Transformer verification draws increasing attention in machine learning ...
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02/28/2022
Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Transformers are becoming the mainstream solutions for various tasks lik...
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10/21/2021
Transformer Acceleration with Dynamic Sparse Attention
Transformers are the mainstream of NLP applications and are becoming inc...
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07/25/2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Although spiking neural networks (SNNs) take benefits from the bio-plaus...
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01/28/2020
Characterizing and Understanding GCNs on GPU
Graph convolutional neural networks (GCNs) have achieved state-of-the-ar...
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01/01/2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
In recent years, plenty of metrics have been proposed to identify networ...
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03/13/2019
Hardness-Aware Deep Metric Learning
This paper presents a hardness-aware deep metric learning (HDML) framewo...
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10/25/2018