Brain encoding models based on multimodal transformers can transfer across language and vision

20 May 2023

Papers citing "Brain encoding models based on multimodal transformers can transfer across language and vision"

6 / 6 papers shown

Title
Do Large Language Models know who did what to whom? Joseph M. Denning Xiaohan Bryor Snefjella Idan A. Blank 55 1 0 23 Apr 2025
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) S. Oota Zijiao Chen Manish Gupta R. Bapi G. Jobard F. Alexandre X. Hinaut 3DV AI4CE 49 11 0 31 Dec 2024
The Wisdom of a Crowd of Brains: A Universal Brain Encoder Roman Beliy Navve Wasserman Amit Zalcher Michal Irani 36 1 0 18 Jun 2024
The Multiscale Surface Vision Transformer Simon Dahan Logan Z. J. Williams Daniel Rueckert E. C. Robinson MedIm ViT 10 2 0 21 Mar 2023
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation Yongfei Liu Chenfei Wu Shao-Yen Tseng Vasudev Lal Xuming He Nan Duan CLIP VLM 53 28 0 22 Sep 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers Lisa Anne Hendricks John F. J. Mellor R. Schneider Jean-Baptiste Alayrac Aida Nematzadeh 75 110 0 31 Jan 2021