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Explore adversarially robust stochastic multi-armed bandits for optimal experimental design. Learn about algorithms balancing fast and robust learning in real-world applications like digital advertising.
Explore techniques for 3D face reconstruction from single images, from coarse to fine-grain methods, addressing challenges in diverse real-world conditions.
Explore image gradients in neural networks to synthesize adversarial examples, visualize neurons, enhance robustness, interpret decisions, and improve image generators.
Explore advanced gradient descent techniques for complex optimization and sampling problems in machine learning, including Stein variational gradient descent and neural architecture optimization.
Explore advanced techniques for optimizing large-scale Markov decision processes using saddle-point methods. Gain insights into theoretical reinforcement learning and linear programming formulations.
Explore federated user representation learning for privacy-preserving collaborative personalization in machine learning, improving model quality while maintaining user privacy.
Explore generative AI advancements, challenges, and VinAI's contributions with Dr. Hung Bui. Gain insights into AI-generated content's impact and the pressing issues in this rapidly evolving field.
Explore deep retrieval models for efficient web-scale data search, balancing accuracy and computational cost. Learn techniques for training robust models with limited labeled data.
Explore recent trends in neural rendering, combining deep generative models and computer graphics for realistic image synthesis and manipulation.
Explore structure modeling and multi-task learning techniques for neural information extraction, enhancing AI's ability to extract meaningful data from complex sources.
Explore machine learning applications in genomics and proteomics for medical diagnostics and drug discovery. Learn how advanced analytics improve sequencing projects and translate technologies into practice.
Explore AI-aided decision making through preference learning and recommendations, leveraging multimodal data for personalized user experiences in the era of pervasive digitization.
Explore NLP applications in commercial tech, focusing on East Asian languages' unique challenges and opportunities. Gain insights from a Microsoft Data Scientist.
Explore natural language adversarial attacks and defense strategies, focusing on the ASCC method for generating perturbations and enhancing model robustness in NLP systems.
Explore advanced perception systems for autonomous agents in dynamic environments. Covers multi-object tracking, human motion forecasting, and social interaction analysis for safe navigation and interaction.
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