Marc Pickett - RankMe

29 papers A* 4B 2Misc 1Journal 12Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	The Ungrounded Alignment Problem. CogSci Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2025	—	`conf`	The Ungrounded Alignment Problem. ICDL Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2025	A*	`conf`	Transformer Layers as Painters. AAAI Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones
2024	J	`jnl`	Better RAG using Relevant Information Gain. CoRR Marc Pickett, Jeremy Hartman, Ayan Kumar Bhowmick, Raquib-ul Alam, Aditya Vempaty
2024	J	`jnl`	The Ungrounded Alignment Problem. CoRR Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2024	J	`jnl`	Transformer Layers as Painters. CoRR Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones
2022	J	`jnl`	CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 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
2022	J	`jnl`	LaMDA: Language Models for Dialog Applications. CoRR 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
2020	J	`jnl`	CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR 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
2017	J	`jnl`	A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors. CoRR Marc Pickett, Ayush Sekhari, James Davidson
2016	J	`jnl`	A Growing Long-term Episodic & Semantic Memory. CoRR Marc Pickett, Rami Al-Rfou, Louis Shao, Chris Tar
2016	J	`jnl`	Conversational Contextual Cues: The Case of Personalization and History for Response Ranking. CoRR Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil
2015	J	`jnl`	Building high assurance human-centric decision systems. Autom. Softw. Eng. Constance L. Heitmeyer, Marc Pickett, Elizabeth I. Leonard, Myla M. Archer, Indrakshi Ray, David W. Aha, J. Gregory Trafton
2013	Misc	`conf`	Acquiring User Models to Test Automated Assistants. FLAIRS Marc Pickett, David W. Aha, J. Gregory Trafton
2013	—	`conf`	Building on Deep Learning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Marc Pickett
2013	—	`conf`	High assurance human-centric decision systems. RAISE@ICSE Constance L. Heitmeyer, Marc Pickett, Len Breslow, David W. Aha, J. Greg Trafton, Elizabeth I. Leonard
2013	—	`conf`	Organizers. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Marc Pickett
2013	—	`conf`	Preface. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison
2013	B	`conf`	Spontaneous Analogy by Piggybacking on a Perceptual System. CogSci Marc Pickett, David W. Aha
2013	J	`jnl`	Spontaneous Analogy by Piggybacking on a Perceptual System. CoRR Marc Pickett, David W. Aha
2013	J	`jnl`	The AAAI-13 Conference Workshops. AI Mag. 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
2008	—	`conf`	Essential Phenomena of General Intelligence. AGI Marc Pickett, Don Miner, Tim Oates
2007	—	`conf`	Representation Change in the Marchitecture. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development Marc Pickett, Don Miner
2007	A*	`conf`	The Marchitecture: A Cognitive Architecture for a Robot Baby. AAAI Marc Pickett, Tim Oates
2007	A*	`conf`	The Übercruncher: Concept Formation by Analogy Discovery. AAAI Marc Pickett
2007	—	`conf`	Using Analogy Discovery to Create Abstractions. SARA Marc Pickett
2005	—	`conf`	The Cruncher: Automatic Concept Formation Using Minimum Description Length. SARA Marc Pickett, Tim Oates
2002	A*	`conf`	PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. ICML Marc Pickett, Andrew G. Barto
2002	—	`conf`	Research Summary. SARA Marc Pickett