Xiaoliang Luo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Networks

Visual Attention

Top Venues

Pattern Recognit. Lett.

Publications

Xiaoliang Luo, Guangzhi Sun, Bradley C. Love
Matching domain experts by training from scratch on domain knowledge. CoRR (2024)
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A too-good-to-be-true prior to reduce shortcut reliance. Pattern Recognit. Lett. 166 (2023)
Xianhong Xiong, Chuansheng Yan, Xiaoliang Luo, Jun Guo, Ye Pan, Qiang Luo
Based on NB-IoT Platform for air quality detection system. EITCE (2022)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. CoRR (2021)
Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love
Understanding top-down attention using task-oriented ablation design. CoRR (2021)
Xiaoliang Luo, Brett D. Roads, Bradley C. Love
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. CoRR (2020)
Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love
The perceptual boost of visual attention is task-dependent in naturalistic settings. CoRR (2020)