The field of Artificial Intelligence (AI) is evolving at lightning speed, with tutorials and surveys paving the way for researchers and engineers alike to stay up-to-date with crucial advancements. This article delves into an expertly curated collection of tutorials and surveys from significant AI conferences and journals that encompass various areas such as Deep Learning, Machine Learning, Data Mining, Computer Vision, Natural Language Processing, and more!

What You Will Find

This compilation includes information from top conferences such as NeurIPS, ICML, and CVPR among others. It swiftly updates to include newly accepted tutorials and surveys, enriching the resource pool for people keen on exploring different AI domains.

AI Tutorials

Tutorials 2023

• Everything You Need to Know about Transformers: Architectures, Optimization, Applications, and Interpretation, AAAI 2023.
• On Explainable AI: From Theory to Motivation, Industrial Applications, XAI Coding & Engineering Practices, AAAI 2023.

Tutorials 2022

• Facilitating a smoother transition to Renewable Energy with AI (AI4Renewables), ICLR 2022 Social.
• Optimization in ML and DL – A discussion on theory and practice, ICLR 2022 Social.

Tutorials 2021

• The Art of Gaussian Processes: Classic and Contemporary, NeurIPS 2021.
• Self-Attention for Computer Vision, ICML 2021.

AI Surveys

General

• Deep learning, Nature 2015.
• Deep learning in neural networks: An overview, Neural Networks 2015.

Transformer and Attention

• A survey on visual transformer, IEEE TPAMI 2022.
• Transformers in vision: A survey, ACM Computing Surveys 2021.

Federated Learning

• Federated machine learning: Concept and applications, TIST 2019.
• Advances and open problems in federated learning, Now 2021.

Understanding the Structure of a Tutorial

Imagine going into a grand library filled with countless books, each one representing a tutorial or survey on a different aspect of AI. Here, each book not only provides foundational knowledge but also serves as a guide, leading you to the next significant piece of information. The structure allows researchers to navigate through intricate concepts while connecting the dots between theoretical principles and practical applications. Just as an explorer relies on a detailed map to find their way through uncharted territories, AI professionals can utilize these tutorials to guide their learning journey through complex topics like self-supervised learning or adversarial techniques.

Troubleshooting Ideas

If you encounter any issues while navigating this resource:

• Check the internet connection; sometimes a weak signal may impede access to the links.
• Ensure that the URLs are entered correctly, as errors can lead to inactive pages.
• Refresh the page or try a different web browser if you are facing persistent loading issues.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.