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Xiaoliang Luo
Xiaoliang Luo
Research Fellow, University College London
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
A too-good-to-be-true prior to reduce shortcut reliance
N Dagaev, BD Roads, X Luo, DN Barry, KR Patil, BC Love
Pattern Recognition Letters, 2022
462022
The costs and benefits of goal-directed attention in deep convolutional neural networks
X Luo, BD Roads, BC Love
Computational Brain & Behavior, 1-18, 2021
202021
A deep learning account of how language affects thought
X Luo, NJ Sexton, BC Love
Language, Cognition and Neuroscience, 2021
72021
A controller-peripheral architecture and costly energy principle for learning
X Luo, RM Mok, BD Roads, BC Love
2023 Conference on Cognitive Computational Neuroscience, https://2023 …, 2023
12023
A controller-peripheral architecture and costly energy principle for learning
X Luo, RM Mok, BD Roads, BC Love
bioRxiv, 2023.01. 16.524194, 2023
12023
Large language models surpass human experts in predicting neuroscience results
X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ...
arXiv preprint arXiv:2403.03230, 2024
2024
The inevitability and superfluousness of cell types in spatial cognition
X Luo, RM Mok, BC Love
bioRxiv, 2024.01. 10.575026, 2024
2024
Adaptive stretching of representations across brain regions and deep learning model layers
XY Zhang, S Bobadilla-Suarez, X Luo, M Lemonari, SL Brincat, M Siegel, ...
bioRxiv, 2023.12. 01.569615, 2023
2023
Goal-directed cross-system interactions in brain and deep learning networks
X Luo
University College London, 2022
2022
Understanding top-down attention using task-oriented ablation design
FB Smith, BD Roads, X Luo, BC Love
arXiv preprint arXiv:2106.11339, 2021
2021
The perceptual boost of visual attention is task-dependent in naturalistic settings
F Bickford Smith, X Luo, BD Roads, BC Love
Bridging AI and Cognitive Science (ICLR 2020), 2020
2020
Algorithmic syntheses of cross-domain sentiment analysis models via a systematic investigation of domain adaptation algorithms
X Luo
University College London, 2018
2018
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Articles 1–12