截止2023年5月,AIGC有哪些优秀的综述?
2023-05-06 阅读 44
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