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06/14/2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
The extraordinary ability of generative models to generate photographic ...
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05/29/2023
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Recent releases of Large Language Models (LLMs), e.g. ChatGPT, are aston...
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05/22/2023
VanillaNet: the Power of Minimalism in Deep Learning
At the heart of foundation models is the philosophy of "more is differen...
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03/28/2022
Brain-inspired Multilayer Perceptron with Spiking Neurons
Recently, Multilayer Perceptron (MLP) becomes the hotspot in the field o...
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06/21/2021
Federated Learning with Positive and Unlabeled Data
We study the problem of learning from positive and unlabeled (PU) data i...
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05/12/2021
Winograd Algorithm for AdderNet
Adder neural network (AdderNet) is a new kind of deep model that replace...
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01/25/2021
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence
Convolutional neural networks (CNN) have been widely used for boosting t...
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12/23/2020
A Survey on Visual Transformer
Transformer is a type of deep neural network mainly based on self-attent...
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12/01/2020
Pre-Trained Image Processing Transformer
As the computing power of modern hardware is increasing strongly, pre-tr...
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09/18/2020
AdderSR: Towards Energy Efficient Image Super-Resolution
This paper studies the single image super-resolution problem using adder...
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05/14/2020
A Semi-Supervised Assessor of Neural Architectures
Neural architecture search (NAS) aims to automatically design deep neura...
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03/07/2020
Distilling portable Generative Adversarial Networks for Image Translation
Despite Generative Adversarial Networks (GANs) have been widely used in ...
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02/03/2020
Widening and Squeezing: Towards Accurate and Efficient QNNs
Quantization neural networks (QNNs) are very attractive to the industry ...
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12/31/2019
AdderNet: Do We Really Need Multiplications in Deep Learning?
Compared with cheap addition operation, multiplication operation is of m...
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09/30/2019
RNAS: Architecture Ranking for Powerful Networks
Neural Architecture Search (NAS) is attractive for automatically produci...
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09/21/2019
Positive-Unlabeled Compression on the Cloud
Many attempts have been done to extend the great success of convolutiona...
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07/25/2019
Co-Evolutionary Compression for Unpaired Image Translation
Generative adversarial networks (GANs) have been successfully used for c...
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04/02/2019
Data-Free Learning of Student Networks
Learning portable neural networks is very essential for computer vision ...
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12/17/2018
