截止2023年5月，AIGC有哪些优秀的综述？
2023-05-06 阅读 32
截止到2023年5月，AIGC（人工智能综述会议）已经举办了多届，其中涵盖了众多热门领域的综述，以下是其中一些优秀的综述：
1. "Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville
2. "Reinforcement Learning" by Richard S. Sutton and Andrew G. Barto
3. "Natural Language Processing" by Christopher D. Manning and Hinrich Schütze
4. "Computer Vision" by Richard Szeliski
5. "Probabilistic Graphical Models" by Daphne Koller and Nir Friedman
6. "Bayesian Networks" by Judea Pearl
7. "Deep Reinforcement Learning" by Sergey Levine and Pieter Abbeel
8. "Transfer Learning" by Sinno Jialin Pan and Qiang Yang
9. "Generative Adversarial Networks" by Ian Goodfellow
10. "Neuroevolution" by Kenneth O. Stanley and Joel Lehman
这些综述涵盖了人工智能领域的许多重要主题，对于想要深入了解这些领域的人来说，都是非常有价值的参考资料。
更新于 2023年05月07日
