Now showing items 31-40 of 219
Belief Representations for Planning with Contact Uncertainty
(2021)
While reaching for your morning coffee you may accidentally bump into the table, yet you reroute your motion with ease and grab your cup. An effective autonomous robot will need to have a similarly seamless recovery from ...
Artificial Intelligence-Based Clinical Decision-Making System for Cataract Surgery
(2022)
Cataracts are a common eye condition characterized by the clouding of the natural crystalline lens that impairs vision. In cataract surgery, the natural lens of the eye is replaced by an intraocular lens (IOL) implant to ...
Theory of Mind in Situated Communication for Collaborative Tasks
(2023)
Theory of mind is an extensively researched topic in psychology and cognitive science. It describes the ability to assign an agent a mental state representing: beliefs, desires, goals, etc., and understanding that another ...
Augmenting Structure with Text for Improved Graph Learning
(2022)
Many important problems in machine learning and data mining, such as knowledge base reasoning, personalized entity recommendation, and scientific hypothesis generation, may be framed as learning and inference over a graph ...
Bringing Practical Security to Vehicles
(2022)
Modern vehicles are getting increasingly connected. Together with more automotive electronics and wireless interfaces, the number of possible attack surfaces
increases, raising security concerns. Attacks on cars can have ...
Building Efficient and Reliable Emerging Technology Systems
(2021)
The semiconductor industry has been reaping the benefits of Moore’s law powered by Dennard’s voltage scaling for the past fifty years. However, with the end of Dennard scaling, silicon chip manufacturers are facing a ...
Reinforcement Learning Agents that Discover Structured Representations
(2023)
Deep reinforcement learning (Deep RL) has recently emerged as a powerful method for developing AI that can learn to select actions in the world. One key question in RL is how an agent should learn knowledge that can be ...
Crafting Machine Learning Defenses against Adversaries
(2023)
Machine learning systems are becoming widely adopted and ubiquitous.
Not only are there a growth of products in which machine learning is at their core like autonomous vehicles, but even traditional companies in fields ...
Demographic-Aware Natural Language Processing
(2020)
The underlying traits of our demographic group affect and shape our thoughts, and therefore surface in the way we express ourselves and employ language in our day-to-day life. Understanding and analyzing language use in ...
Sample-Efficient Algorithms for Hard-Exploration Problems in Reinforcement Learning
(2022)
Reinforcement learning (RL) aims to learn optimal behaviors for agents to maximize cumulative rewards through trial-and-error interactions with dynamic environments.
In recent years, the powerful deep neural networks have ...