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Timothy T. Rogers
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- affiliation: University of Wisconsin Madison, Department of Psychology, WI, USA
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2020 – today
- 2024
- [i14]Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers:
The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. CoRR abs/2402.13927 (2024) - [i13]Jifan Zhang, Lalit Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak:
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning. CoRR abs/2406.10522 (2024) - [i12]Yun-Shiuan Chuang, Zach Studdiford, Krirk Nirunwiroj, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. CoRR abs/2406.17232 (2024) - [i11]Kushin Mukherjee, Timothy T. Rogers, Karen B. Schloss:
Large Language Models estimate fine-grained human color-concept associations. CoRR abs/2406.17781 (2024) - 2023
- [j12]Scott Sievert
, Robert D. Nowak, Timothy T. Rogers
:
Efficiently Learning Relative Similarity Embeddings with Crowdsourcing. J. Open Source Softw. 8(83): 4517 (2023) - [c33]Y. Ivette Colon, Timothy T. Rogers:
Yours and Ours: Individual and Group Differences in Semantic Organization from Triplet Judgements of Faces. CogSci 2023 - [c32]Vincent Frigo, Timothy T. Rogers:
Evidence for Heuristic Evidence Weighting in Real-World Beliefs. CogSci 2023 - [c31]Siddharth Suresh, Kushin Mukherjee, Lisa Padua, Timothy T. Rogers:
Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models. CogSci 2023 - [c30]Siddharth Suresh, Kushin Mukherjee, Xizheng Yu, Wei-Chun Huang, Lisa Padua, Timothy T. Rogers:
Conceptual structure coheres in human cognition but not in large language models. EMNLP 2023: 722-738 - [c29]Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers:
Human-machine cooperation for semantic feature listing. Tiny Papers @ ICLR 2023 - [c28]Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers:
Semantic feature verification in FLAN-T5. Tiny Papers @ ICLR 2023 - [i10]Siddharth Suresh, Lisa Padua, Kushin Mukherjee, Timothy T. Rogers:
Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models. CoRR abs/2304.02754 (2023) - [i9]Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers:
Human-machine cooperation for semantic feature listing. CoRR abs/2304.05012 (2023) - [i8]Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers:
Semantic Feature Verification in FLAN-T5. CoRR abs/2304.05591 (2023) - [i7]Yun-Shiuan Chuang, Timothy T. Rogers:
Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies. CoRR abs/2306.03446 (2023) - [i6]Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Simulating Opinion Dynamics with Networks of LLM-based Agents. CoRR abs/2311.09618 (2023) - [i5]Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu:
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR abs/2311.09661 (2023) - [i4]Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds. CoRR abs/2311.09665 (2023) - [i3]Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Xiaojin Zhu, Timothy T. Rogers:
Learning interactions to boost human creativity with bandits and GPT-4. CoRR abs/2311.10127 (2023) - 2022
- [c27]Kushin Mukherjee, Holly Huey, Timothy T. Rogers, Judith E. Fan:
From Images to Symbols: Drawing as a Window into the Mind. CogSci 2022 - 2020
- [c26]Declan Campbell, Timothy T. Rogers:
Disentangling Generativity in Visual Cognition. CogSci 2020 - [c25]Rebecca L. Jackson, Matthew A. Lambon Ralph, Timothy T. Rogers:
Positive Effects of a Developmental Period Without Control. CogSci 2020
2010 – 2019
- 2019
- [c24]Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov:
Understanding interactions amongst cognitive control, learning and representation. CogSci 2019: 35-36 - [c23]Vincent Frigo, Timothy T. Rogers:
Investigating the factorial structure of widespread false beliefs. CogSci 2019: 3461 - [c22]Clint Jensen, April D. Murphy, Andrew G. Young, Martha W. Alibali, Timothy T. Rogers, Chuck Kalish:
Symbol grounding boosts transfer in addition learning. CogSci 2019: 3484 - 2018
- [c21]Vincent Frigo, Timothy T. Rogers:
The other Fox News effect: Attractive people and women more strongly impact belief formation. CogSci 2018 - [c20]Clint Jensen, Timothy T. Rogers, Vanessa R. Simmering:
Children regularize object shape but not object color in visual recognition tasks. CogSci 2018 - [c19]Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu:
For Teaching Perceptual Fluency, Machines Beat Human Experts. CogSci 2018 - [c18]Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu:
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. EDM 2018 - [e1]Chuck Kalish, Martina A. Rau, Xiaojin (Jerry) Zhu, Timothy T. Rogers:
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018. cognitivesciencesociety.org 2018, ISBN 978-0-9911967-8-4 [contents] - 2017
- [c17]Timothy T. Rogers, Charles Kalish:
LUCID science: Advancing learning through human-machine cooperation. CogSci 2017 - 2016
- [j11]Nikhil Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers:
Classification With the Sparse Group Lasso. IEEE Trans. Signal Process. 64(2): 448-463 (2016) - [c16]Clint Jensen, Vanessa R. Simmering, Timothy T. Rogers:
Modeling the Influence of Knowledge on Recognition: Connecting visual recognition behavior across development to PDP computational models of semantic knowledge. CogSci 2016 - [c15]Qihong Lu, Timothy T. Rogers:
An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition. CogSci 2016 - [c14]Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak:
Representational Similarity Learning with Application to Brain Networks. ICML 2016: 1041-1049 - 2015
- [j10]Lang Chen, Timothy T. Rogers:
A Model of Emergent Category-specific Activation in the Posterior Fusiform Gyrus of Sighted and Congenitally Blind Populations. J. Cogn. Neurosci. 27(10): 1981-1999 (2015) - [c13]Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine M. Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey:
Connecting learning, memory, and representation in math education. CogSci 2015 - [c12]Bryan R. Gibson, Timothy T. Rogers, Chuck Kalish, Xiaojin Zhu:
What causes category-shifting in human semi-supervised learning? CogSci 2015 - [c11]April D. Murphy, Timothy T. Rogers, Edward Hubbard, Autumn Brower:
Beyond Magnitude: How Math Expertise Guides Number Representation. CogSci 2015 - [c10]Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan:
Human Memory Search as Initial-Visit Emitting Random Walk. NIPS 2015: 1072-1080 - 2014
- [j9]Timothy T. Rogers, James L. McClelland
:
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition. Cogn. Sci. 38(6): 1024-1077 (2014) - [i2]Nikhil S. Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers:
Logistic Regression with Structured Sparsity. CoRR abs/1402.4512 (2014) - 2013
- [j8]Anna C. Schapiro
, James L. McClelland
, Stephen R. Welbourne, Timothy T. Rogers, Matthew A. Lambon Ralph
:
Why Bilateral Damage Is Worse than Unilateral Damage to the Brain. J. Cogn. Neurosci. 25(12): 2107-2123 (2013) - [j7]Bryan R. Gibson, Timothy T. Rogers, Xiaojin Zhu:
Human Semi-Supervised Learning. Top. Cogn. Sci. 5(1): 132-172 (2013) - [c9]Kwang-Sung Jun, Xiaojin (Jerry) Zhu, Burr Settles, Timothy T. Rogers:
Learning from Human-Generated Lists. ICML (3) 2013: 181-189 - [c8]Nikhil S. Rao, Christopher R. Cox, Robert D. Nowak, Timothy T. Rogers:
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. NIPS 2013: 2202-2210 - [i1]Nikhil S. Rao, Christopher R. Cox, Robert D. Nowak, Timothy T. Rogers:
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. CoRR abs/1311.5422 (2013) - 2012
- [j6]Jun-Ming Xu, Xiaojin Zhu, Timothy T. Rogers:
Metric Learning for Estimating Psychological Similarities. ACM Trans. Intell. Syst. Technol. 3(3): 55:1-55:22 (2012) - [c7]Lang Chen, Timothy T. Rogers:
Knowing where to look: Conceptual knowledge guides fixation in an object categorization task. CogSci 2012 - 2011
- [j5]Paul Hoffman
, Timothy T. Rogers, Matthew A. Lambon Ralph
:
Semantic Diversity Accounts for the "Missing" Word Frequency Effect in Stroke Aphasia: Insights Using a Novel Method to Quantify Contextual Variability in Meaning. J. Cogn. Neurosci. 23(9): 2432-2446 (2011) - [c6]Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers:
Co-Training as a Human Collaboration Policy. AAAI 2011: 852-857 - 2010
- [c5]Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish:
Cognitive Models of Test-Item Effects in Human Category Learning. ICML 2010: 1247-1254 - [c4]Bryan R. Gibson, Xiaojin Zhu, Timothy T. Rogers, Chuck Kalish, Joseph Harrison:
Humans Learn Using Manifolds, Reluctantly. NIPS 2010: 730-738
2000 – 2009
- 2009
- [c3]Xiaojin Zhu, Timothy T. Rogers, Bryan R. Gibson:
Human Rademacher Complexity. NIPS 2009: 2322-2330 - 2008
- [c2]Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu:
Human Active Learning. NIPS 2008: 241-248 - 2007
- [j4]Olaf Hauk, Karalyn Patterson, Anna M. Woollams, Elisa Cooper-Pye
, Friedemann Pulvermüller
, Timothy T. Rogers:
How the Camel Lost Its Hump: The Impact of Object Typicality on Event-related Potential Signals in Object Decision. J. Cogn. Neurosci. 19(8): 1338-1353 (2007) - [c1]Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish:
Humans Perform Semi-Supervised Classification Too. AAAI 2007: 864-870 - 2006
- [j3]Karalyn Patterson, Matthew A. Lambon Ralph, Elizabeth Jefferies, Anna M. Woollams, Roy Jones, John R. Hodges, Timothy T. Rogers:
"Presemantic" Cognition in Semantic Dementia: Six Deficits in Search of an Explanation. J. Cogn. Neurosci. 18(2): 169-183 (2006) - [j2]Olaf Hauk, Karalyn Patterson, Anna M. Woollams, L. Watling, Friedemann Pulvermüller
, Timothy T. Rogers:
[Q: ] When Would You Prefer a SOSSAGE to a SAUSAGE? [A: ] At about 100 msec. ERP Correlates of Orthographic Typicality and Lexicality in Written Word Recognition. J. Cogn. Neurosci. 18(5): 818-832 (2006) - 2005
- [j1]Timothy T. Rogers, Julia Hocking
, Andrea Mechelli, Karalyn Patterson, Cathy J. Price:
Fusiform Activation to Animals is Driven by the Process, Not the Stimulus. J. Cogn. Neurosci. 17(3): 434-445 (2005)
Coauthor Index
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