截止2023年5月，AIGC有哪些优秀的综述？
2023-05-06 阅读 51
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：
- "Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville
- "Reinforcement Learning" by Richard S. Sutton and Andrew G. Barto
- "Natural Language Processing" by Christopher D. Manning and Hinrich Schütze
- "Computer Vision" by Richard Szeliski
- "Probabilistic Graphical Models" by Daphne Koller and Nir Friedman
- "Bayesian Networks" by Judea Pearl
- "Deep Reinforcement Learning" by Sergey Levine and Pieter Abbeel
- "Transfer Learning" by Sinno Jialin Pan and Qiang Yang
- "Generative Adversarial Networks" by Ian Goodfellow
- "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
