The Ungrounded Alignment Problem.
CoRR, 2024
Better RAG using Relevant Information Gain.
CoRR, 2024
Transformer Layers as Painters.
CoRR, 2024
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.
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Artif. Intell., 2022
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors.
CoRR, 2017
A Growing Long-term Episodic & Semantic Memory.
CoRR, 2016
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking.
CoRR, 2016
Building high assurance human-centric decision systems.
Autom. Softw. Eng., 2015
High assurance human-centric decision systems.
Proceedings of the 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2013
Acquiring User Models to Test Automated Assistants.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
Spontaneous Analogy by Piggybacking on a Perceptual System.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013
Building on Deep Learning.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013
Essential Phenomena of General Intelligence.
Proceedings of the Artificial General Intelligence 2008, 2008
Using Analogy Discovery to Create Abstractions.
Proceedings of the Abstraction, 2007
Representation Change in the Marchitecture.
Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007
The Marchitecture: A Cognitive Architecture for a Robot Baby.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
The Übercruncher: Concept Formation by Analogy Discovery.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
The Cruncher: Automatic Concept Formation Using Minimum Description Length.
Proceedings of the Abstraction, 2005
Proceedings of the Abstraction, 2002
PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning.
Proceedings of the Machine Learning, 2002