Building Deep Retrieval Models in Practical Applications

Explore the intricacies of building deep retrieval models for practical applications in this seminar presented by Dr. Khoa D. Doan, an AI Researcher at Baidu Research's Cognitive Computing Lab. Delve into the challenges posed by the rapid growth of digital data, particularly in visual and textual content, and discover how approximate nearest neighbor search methods, including hashing techniques, offer balanced solutions for web-scale databases. Learn about the importance of efficient training methods, model generalization with limited labeled data, and robustness in scenarios involving noisy or evolving data. Gain insights from Dr. Doan's extensive experience in developing practical Deep Learning-To-Hash models and Generative-based Machine Learning approaches for Retrieval and AI Security applications.

Seminar Series: Building deep retrieval models in practical applications