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06/09/2023
Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning
The standard definition generation task requires to automatically produc...
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05/09/2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st Internat...
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04/06/2023
NTK-SAP: Improving neural network pruning by aligning training dynamics
Pruning neural networks before training has received increasing interest...
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10/02/2022
Fine-grained Contrastive Learning for Definition Generation
Recently, pre-trained transformer-based models have achieved great succe...
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04/06/2022
C3KG: A Chinese Commonsense Conversation Knowledge Graph
Existing commonsense knowledge bases often organize tuples in an isolate...
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01/19/2022
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices
The core issue of cyberspace detecting and mapping is to accurately iden...
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03/17/2021
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
Cyber attacks pose crucial threats to computer system security, and put ...
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01/01/2021
On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method
The Barzilai-Borwein (BB) method has demonstrated great empirical succes...
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12/14/2020
A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK
A reasonable prediction of infectious diseases transmission process unde...
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07/02/2020
The Global Landscape of Neural Networks: An Overview
One of the major concerns for neural network training is that the non-co...
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11/04/2019
Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks
Does over-parameterization eliminate sub-optimal local minima for neural...
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08/24/2019
Customized OCT images compression scheme with deep neural network
We customize an end-to-end image compression framework for retina OCT im...
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08/12/2019
An overlapping-free leaf segmentation method for plant point clouds
Automatic leaf segmentation, as well as identification and classificatio...
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07/02/2019
An Integrated Image Filter for Enhancing Change Detection Results
Change detection is a fundamental task in computer vision. Despite signi...
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03/26/2019
Efficient Incremental Learning for Mobile Object Detection
Object detection models shipped with camera-equipped mobile devices cann...
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03/20/2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Lifelong learning, the problem of continual learning where tasks arrive ...
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03/19/2019
Class-incremental Learning via Deep Model Consolidation
Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...
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02/03/2019
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
State-of-the-art deep model compression methods exploit the low-rank app...
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12/28/2018
Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations
In this paper, we study the loss surface of the over-parameterized fully...
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06/04/2018
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Recurrent neural networks (RNNs) achieve cutting-edge performance on a v...
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03/13/2018