New Intelligence Report Source: towardsdatascience Author: Connor Shorten Editor: Xiao Qin [New Intelligence Guide]Generative Adversarial Networks (GANs) are one of the most fascinating and popular applications in deep learning. This article lists 10 papers on GANs that will provide you with a great introduction to GANs and help you understand the foundations of state-of-the-art techniques. … Read more
Source: New Intelligence This article has 7372 words, recommended reading 10 minutes. This article organizes the speech content of Professor Tao Dacheng at the AI WORLD 2018 World Artificial Intelligence Summit on September 20. [ Introduction ] Professor Tao Dacheng from the University of Sydney, an academician of the Australian Academy of Science and chief … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! Source | PaperWeekly ©PaperWeekly Original · Author｜Sun Yudao School｜PhD student at Beijing University of Posts and Telecommunications Research Direction｜GAN Image Generation, Emotion Adversarial Sample Generation Thesis Title: A Mathematical Introduction to Generative Adversarial Nets Thesis Link: https://arxiv.org/abs/2009.00169 Introduction Since the groundbreaking work of … Read more
This article is a transcript of the live sharing session by Wang Hongwei, a PhD student from Shanghai Jiao Tong University and intern at Microsoft Research Asia, on January 10 during the 23rd PhD Talk. Network representation learning (network embedding) has emerged in recent years as a branch of feature learning research. As a dimensionality … Read more
New Intelligence Report Editor: LRS [New Intelligence Guide] GAN models also have the potential to scale up! The explosion of AIGC is, from a technical perspective, due to a huge change in the architecture of image generation models. With OpenAI’s release of DALL-E 2, autoregressive and diffusion models overnight became the new standard for large-scale … Read more
The evolution of AI is advancing at an exponential rate, evolving from recognition through photos to the ability to draw and generate dynamic images. Today, I would like to share an AI system for interactive drawing of facial images. This is a paper shared by ACM SIGGRAPH Asia 2022, developed collaboratively by Tsinghua University, Tencent … Read more
In 2014, Generative Adversarial Networks (GANs) were invented, marking the dawn of a virtual world created by AI. Since then, “AI Deep Synthesis” has gradually transitioned from the laboratory to everyday life, becoming a part of the digital experience for ordinary people. The face-swapping military photos shared on social media, the lifelike virtual anchors, and … Read more
Author: Wei Xiucan, PhD student at the Institute of Machine Learning and Data Mining (LAMDA), Nanjing University. He has published academic papers in top international journals and conferences, and his “Must Know Tips in Deep Neural Networks” was invited for publication in the well-known data mining forums KDnuggets and Data Science Central. Selected from “Programmer,” … Read more
PyTorch Lightning Bolts is an extension library officially launched by PyTorch Lightning, aiming to accelerate model development and training. It provides commonly used deep learning components, pre-trained models, data loaders, and utilities that can significantly simplify the development process, allowing developers to focus on research and optimizing model performance. Whether you are a beginner or … Read more
Selected from arXiv Authors: Anuroop Sriram et al. Translated by Machine Heart Contributors: Li Yazhou, Li Zenan Baidu recently published a paper proposing the use of Generative Adversarial Networks (GAN) to achieve a robust speech recognition system. The authors state that the new framework does not rely on the domain-specific knowledge or simplified assumptions often … Read more