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Marc Pickett
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2020 – today
- 2024
- [i9]Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones:
Transformer Layers as Painters. CoRR abs/2407.09298 (2024) - [i8]Marc Pickett, Jeremy Hartman, Ayan Kumar Bhowmick, Raquib-ul Alam, Aditya Vempaty:
Better RAG using Relevant Information Gain. CoRR abs/2407.12101 (2024) - [i7]Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones:
The Ungrounded Alignment Problem. CoRR abs/2408.04242 (2024) - 2022
- [j3]Vincenzo Lomonaco
, Lorenzo Pellegrini
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303: 103635 (2022) - [i6]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:
LaMDA: Language Models for Dialog Applications. CoRR abs/2201.08239 (2022) - 2020
- [i5]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:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR abs/2009.09929 (2020)
2010 – 2019
- 2017
- [i4]Marc Pickett, Ayush Sekhari, James Davidson:
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors. CoRR abs/1707.03979 (2017) - 2016
- [i3]Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking. CoRR abs/1606.00372 (2016) - [i2]Marc Pickett, Rami Al-Rfou, Louis Shao, Chris Tar:
A Growing Long-term Episodic & Semantic Memory. CoRR abs/1610.06402 (2016) - 2015
- [j2]Constance L. Heitmeyer
Building high assurance human-centric decision systems. Autom. Softw. Eng. 22(2): 159-197 (2015) - 2013
- [j1]Vikas Agrawal, Christopher Archibald, Mehul Bhatt
The AAAI-13 Conference Workshops. AI Mag. 34(4): 9- (2013) - [c14]Marc Pickett:
Organizers. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c13]Marc Pickett:
Building on Deep Learning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c12]Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison:
Preface. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c11]Marc Pickett, David W. Aha:
Spontaneous Analogy by Piggybacking on a Perceptual System. CogSci 2013 - [c10]Marc Pickett, David W. Aha, J. Gregory Trafton:
Acquiring User Models to Test Automated Assistants. FLAIRS 2013 - [c9]Constance L. Heitmeyer
High assurance human-centric decision systems. RAISE@ICSE 2013: 35-41 - [i1]Marc Pickett, David W. Aha:
Spontaneous Analogy by Piggybacking on a Perceptual System. CoRR abs/1310.2955 (2013)
2000 – 2009
- 2008
- [c8]Marc Pickett, Don Miner, Tim Oates:
Essential Phenomena of General Intelligence. AGI 2008: 268-274 - 2007
- [c7]Marc Pickett, Tim Oates:
The Marchitecture: A Cognitive Architecture for a Robot Baby. AAAI 2007: 1896-1897 - [c6]Marc Pickett:
The Übercruncher: Concept Formation by Analogy Discovery. AAAI 2007: 1941-1942 - [c5]Marc Pickett, Don Miner:
Representation Change in the Marchitecture. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development 2007: 56-57 - [c4]Marc Pickett:
Using Analogy Discovery to Create Abstractions. SARA 2007: 405-406 - 2005
- [c3]Marc Pickett, Tim Oates:
The Cruncher: Automatic Concept Formation Using Minimum Description Length. SARA 2005: 282-289 - 2002
- [c2]Marc Pickett, Andrew G. Barto:
PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. ICML 2002: 506-513 - [c1]Marc Pickett:
Research Summary. SARA 2002: 344
Coauthor Index
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last updated on 2024-09-15 00:42 CEST by the dblp team
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