DeepScience: Forecasting Trends of the Science of Science IntroductionIn this repo, we choose the domain of COVID-19 and deep learning to predict the trends of the science of science. We use the information of papers and fields from Acemap. It is worth noti 2022-03-19 technology machine learning

Python Implementation of Contrastive Learning IntroductionContrastive learning is a self-supervised learning method to learn representations by contrasting positive and negative examples. For self-supervised contrastive learning, the next equatio 2022-01-13 technology machine learning Python

Image Generation with Generative Adversarial Networks (GAN) IntroductionIn this article, I implemented some variants of DCGAN[1], which is one of the generative adversarial networks. The DCGAN model has replaced the fully connected layer with the global poolin 2021-07-09 technology machine learning Python

Critique: DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks Paper: Wang, Xingbin, et al. “Dnnguard: An elastic heterogeneous dnn accelerator architecture against adversarial attacks.” Proceedings of the Twenty-Fifth International Conference on Architectural S 2021-04-12 technology computer architecture paper

Critique: Think fast: a tensor streaming processor (TSP) for accelerating deep learning workloads Paper: Abts, Dennis, et al. “Think fast: a tensor streaming processor (TSP) for accelerating deep learning workloads.” 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA 2021-02-03 technology computer architecture paper

von Neumann Graph Entropy: Python Implementation IntroductionThe von Neumann graph entropy (VNGE) facilitates measurement of information divergence and distance between graphs in a graph sequence. Given an undirected graph G=(V, E, A), where A is t 2021-01-25 technology machine learning Python

Critique: Accelerating Attention Mechanisms in Neural Networks with Approximation Paper: Ham, Tae Jun, et al. “A^ 3: Accelerating Attention Mechanisms in Neural Networks with Approximation.” 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2021-01-20 technology computer architecture paper

Critique: Why GPUs are slow at executing NFAs and how to make them faster. Paper: Liu, Hongyuan, Sreepathi Pai, and Adwait Jog. “Why GPUs are slow at executing NFAs and how to make them faster.” Proceedings of the Twenty-Fifth International Conference on Architectural Suppo 2021-01-20 technology computer architecture paper

Defend the truth: seeing is not believing anymore DeepFakeImagine if someone replaces the character in a certain video with your face image just for fun, what would you think? This is what DeepFake is doing. Its function is to combine and superimpose 2021-01-20 ideas ideas

Hello World Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub. Quick 2021-01-19