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06/30/2022
On-Device Training Under 256KB Memory
On-device training enables the model to adapt to new data collected from...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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11/02/2020
IOS: Inter-Operator Scheduler for CNN Acceleration
To accelerate CNN inference, existing deep learning frameworks focus on ...
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07/22/2020
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
We present Tiny-Transfer-Learning (TinyTL), an efficient on-device learn...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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06/21/2019
Deep Leakage from Gradients
Exchanging gradients is a widely used method in modern multi-node machin...
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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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12/02/2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Neural architecture search (NAS) has a great impact by automatically des...
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01/18/2018
Sparsely Connected Convolutional Networks
Residual learning with skip connections permits training ultra-deep neur...
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12/05/2017