interesting recent development in deep learning… The most important one, in my opinion, is adversarial training (also called GAN for Generative Adversarial Networks). “ —Yan LeCun (楊⽴昆), 2016 ”
Python 2, ⽽ 且只有單 GPU Progressive Growing of GANs for Improved Quality, Stability, and Variation Karras 等 NVIDIA 團隊 (ICLR 2018) “Progressive Growing of GANs for Improved Quality, Stability, and Variation” Progressive GAN https://arxiv.org/abs/1710.10196
Philbin (Google). FaceNet: A Unified Embedding for Face Recognition and Clustering. arXiv preprint arXiv:1503.03832. CNN ̂ y 1 ̂ y 2 ̂ y n CNN ̂ y 1 ̂ y 2 ̂ y n Positive Sample Negative Sample
one of the most promising ways to build such background knowledge and approximate a form of common sense in AI systems. “ —Yan LeCun (楊⽴昆)/Ishan Misra, 2021 ” Self-supervised Learning: The Dark Matter of Intelligence https://ai.facebook.com/blog/self-supervised- learning-the-dark-matter-of-intelligence/