Reflected Diffusion Models
Explore innovative techniques for enhancing diffusion models, improving sample quality and efficiency in generative AI applications.
Action Matching: Learning Stochastic Dynamics from Samples
Learn stochastic dynamics from samples using action matching techniques. Explore innovative approaches to understanding and modeling complex systems through data-driven methods.
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Explore discrete diffusion modeling techniques for estimating data distribution ratios, enhancing generative AI capabilities and understanding.
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.
Sequential Learning in Artificial Intelligence - Oral Session 4
Explore cutting-edge research in sequential learning, covering robust reinforcement learning, online learning in MDPs, fairness in predict-then-optimize settings, and constrained POMDPs.
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 - Introduction to Algorithms - March 14, 2023
Explore advanced computer science concepts with Gal Vardi from Toyota Technological Institute in this UCLA lecture series.
CS 201 - Introduction to Computer Science - Lecture 3/16/2023
Explore Ray Mooney's insights on Jon Postel's contributions to computer science in this UCLA lecture, delving into the foundational principles of internet protocols and networking.
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.
CS201 - Introduction to Computer Science - November 16, 2023
Explore advanced computer science concepts with renowned expert Zvi Galil in this UCLA lecture, delving into cutting-edge topics and research 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.
Learning and Amortized Inference in Probabilistic Programs
Explore probabilistic programming, amortized inference, and novel learning methods like reweighted wake-sleep and thermodynamic variational objective for efficient Bayesian inference in complex models.
Implementation of Backtracking Line Search in Deep Neural Networks - Theory and Practice
Explore backtracking line search implementation in deep neural networks, covering theoretical foundations and practical applications for optimizing model performance.
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.