Marc Pickett

According to our database, Marc Pickett authored at least 24 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Ungrounded Alignment Problem.

Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones

CoRR, 2024

Better RAG using Relevant Information Gain.

Marc Pickett, Jeremy Hartman, Ayan Kumar Bhowmick, Raquib-ul Alam, Aditya Vempaty

CoRR, 2024

Transformer Layers as Painters.

Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones

CoRR, 2024

2022

LaMDA: Language Models for Dialog Applications.

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.

Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni

Artif. Intell., 2022

2017

A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors.

Marc Pickett, Ayush Sekhari, James Davidson

CoRR, 2017

2016

A Growing Long-term Episodic & Semantic Memory.

Marc Pickett, Rami Al-Rfou, Louis Shao, Chris Tar

CoRR, 2016

Conversational Contextual Cues: The Case of Personalization and History for Response Ranking.

Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

CoRR, 2016

2015

Building high assurance human-centric decision systems.

Constance L. Heitmeyer, Marc Pickett, Elizabeth I. Leonard, Myla M. Archer, Indrakshi Ray, David W. Aha, J. Gregory Trafton

Autom. Softw. Eng., 2015

2013

The AAAI-13 Conference Workshops.

Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar

AI Mag., 2013

High assurance human-centric decision systems.

Constance L. Heitmeyer, Marc Pickett, Len Breslow, David W. Aha, J. Greg Trafton, Elizabeth I. Leonard

Proceedings of the 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2013

Acquiring User Models to Test Automated Assistants.

Marc Pickett, David W. Aha, J. Gregory Trafton

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Spontaneous Analogy by Piggybacking on a Perceptual System.

Marc Pickett, David W. Aha

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Preface.

Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison

Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Building on Deep Learning.

Marc Pickett

Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Organizers.

Marc Pickett

Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2008

Essential Phenomena of General Intelligence.

Marc Pickett, Don Miner, Tim Oates

Proceedings of the Artificial General Intelligence 2008, 2008

2007

Using Analogy Discovery to Create Abstractions.

Marc Pickett

Proceedings of the Abstraction, 2007

Representation Change in the Marchitecture.

Marc Pickett, Don Miner

Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007

The Marchitecture: A Cognitive Architecture for a Robot Baby.

Marc Pickett, Tim Oates

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

The Übercruncher: Concept Formation by Analogy Discovery.

Marc Pickett

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005

The Cruncher: Automatic Concept Formation Using Minimum Description Length.

Marc Pickett, Tim Oates

Proceedings of the Abstraction, 2005

2002

Research Summary.

Marc Pickett

Proceedings of the Abstraction, 2002

PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning.

Marc Pickett, Andrew G. Barto

Proceedings of the Machine Learning, 2002