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ORCIDJin Hwa Lee
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2020 – today
- 2024
[c1]Jin Hwa Lee, Stefano Sarao Mannelli, Andrew M. Saxe:
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning. ICML 2024- [i3]Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng:
Geometric Signatures of Compositionality Across a Language Model's Lifetime. CoRR abs/2410.01444 (2024) - [i2]Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington:
Don't Cut Corners: Exact Conditions for Modularity in Biologically Inspired Representations. CoRR abs/2410.06232 (2024) - 2023
- [j3]Lorenzo Servadei
, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille:
Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Des. Test 40(1): 43-51 (2023) - 2022
- [i1]Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis:
Learnable latent embeddings for joint behavioral and neural analysis. CoRR abs/2204.00673 (2022) - 2021
- [j2]Hasan Tinmaz, Jin Hwa Lee:
A Case Study on Integrating a Facebook Group Into a Computer Programming Course. J. Cases Inf. Technol. 23(4): 1-16 (2021) - 2020
- [j1]Hasan Tinmaz, Jin Hwa Lee:
An analysis of users' preferences on learning management systems: a case on German versus Spanish students. Smart Learn. Environ. 7(1): 30 (2020)
Coauthor Index
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