追蹤
Xiaoliang Luo
Xiaoliang Luo
Research Fellow, University College London
在 ucl.ac.uk 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
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
512022
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
212021
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
112024
A deep learning account of how language affects thought
X Luo, NJ Sexton, BC Love
Language, Cognition and Neuroscience, 2021
72021
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
22023
Understanding top-down attention using task-oriented ablation design
FB Smith, BD Roads, X Luo, BC Love
arXiv preprint arXiv:2106.11339, 2021
22021
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
Confidence-weighted integration of human and machine judgments for superior decision-making
F Yáñez, X Luo, OV Minero, BC Love
arXiv preprint arXiv:2408.08083, 2024
2024
Matching domain experts by training from scratch on domain knowledge
X Luo, G Sun, BC Love
Large Language Models and Cognition (ICML 2024), 2024
2024
The inevitability and superfluousness of cell types in spatial cognition
X Luo, RM Mok, BC Love
eLife, 99047, 2024
2024
Goal-directed cross-system interactions in brain and deep learning networks
X Luo
University College London, 2022
2022
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
系統目前無法執行作業,請稍後再試。
文章 1–13