Algorithms in Unjust Systems
Explore the impact of algorithms in unjust systems with Alexandra Chouldechova's keynote talk at UAI 2023, addressing critical issues in AI and fairness.
Learning Algorithms in Uncertainty and AI - Session 5
Explore cutting-edge research on cost-sensitive failure recognition, interpretable decision trees, and Bayesian active learning in AI. Gain insights into advanced learning algorithms and their applications.
The Power of Cooperation in Networks of Learning Agents - Keynote Talk
Explore the power of cooperation in agent networks for enhanced learning, focusing on performance bounds and online learning scenarios.
CS 201: Introduction to Natural Language Processing - Lecture 11/17/2022
Explore natural language processing with Dan Jurafsky in this UCLA Computer Science lecture, covering key concepts and applications in computational linguistics.
CS 201 - April 13 2023
Explore advanced computer science concepts with Rex Ying in this UCLA lecture, covering key topics and insights in the field.
The Lottery Ticket Hypothesis for Gigantic Pre-Trained Models
Explore the lottery ticket hypothesis in large pre-trained models, uncovering efficient subnetworks for transfer learning in NLP and computer vision tasks.
Robust Parameter Estimation in Computer Vision
Explore robust parameter estimation in computer vision, focusing on algorithms for handling outliers in large-scale data and recent developments in the field.
Tractable Probabilistic Circuits - Seminar Series
Explore probabilistic circuits as advanced neural networks for tractable inference, outperforming VAEs and flow-based models. Learn about their applications in machine learning and neural compression.
Generative Sequence Models for Sequential Decision Making
Explore generative sequence models for decision-making under uncertainty. Learn how Transformer architecture and language modeling advances can enhance offline learning, online exploration, and multi-task generalization in AI.
Technology and Business of Smart Speakers
Explore the technology pipeline and business opportunities of smart speakers from manufacturer and developer perspectives, including revenue generation strategies.
Perceive Before Learning to Plan or Act - Multitask Perception Systems for Autonomous Agents
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.
Towards AI-Aided Decision Making: Preference Learning and Recommendations from Multimodal Data
Explore AI-aided decision making through preference learning and recommendations, leveraging multimodal data for personalized user experiences in the era of pervasive digitization.
Ubiquitous 3D Vision in the Wild
Explore cutting-edge 3D vision techniques for object detection, tracking, and reconstruction from various camera platforms. Gain insights into advanced algorithms for human motion analysis and multi-human tracking.
Annotation-Efficient Object Detection: Unsupervised Discovery to Active Learning
Explore annotation-efficient object detection techniques, from unsupervised discovery to active learning strategies, enhancing intelligent systems with less manual input.
The Revolution of Small Language Models - Phi-2 and the Future of AI
Explore the revolutionary Phi-2 small language model, its efficient performance, and impact on AI development. Uncover the evolution, applications, and future of compact language models.
Enriching Communication between Humans and AI Agents
Explore frameworks enhancing human-AI communication, focusing on agents learning from language and requesting information. Discover advancements in interactive AI capabilities and future directions in expressive communication.
AI Synthesis for Metaverse Capabilities and Next-Generation AI VFX
Explore cutting-edge AI technologies for creating photorealistic digital humans, virtual worlds, and immersive experiences. Discover advancements in 3D deep learning, neural rendering, and AI-driven VFX for the metaverse era.
Deep Ontological Networks: An Overview and Implementation
Explore deep ontological networks, focusing on recursive reasoning networks and their applications through an in-depth overview and experimental insights.
Deep Generative Models - Lectures 2 and 3
Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.
Diffusion Models
Explore advanced concepts in diffusion models, including theory, applications, and recent developments in probabilistic AI.
The Elusive Generalization and Easy Optimization in Machine Learning - Part 1
Explore generalization in machine learning and optimization by gradient descent, focusing on recent developments and empirical findings in neural networks that challenge traditional theoretical foundations.