Supervised Contrastive Learning for Multimodal Unreliable News Detection
in COVID-19 Pandemic

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic

4 September 2021

Yulan He

Papers citing "Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic"

5 / 5 papers shown

Title
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment Zhiyuan Li Hailong Li Anca L. Ralescu Jonathan R. Dillman M. Altaye Kim M. Cecil N. Parikh Lili He 29 2 0 22 Dec 2023
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning Heqing Zou Meng Shen Chen Chen Yuchen Hu D. Rajan Chng Eng Siong SSL 37 15 0 16 May 2023
Some Observations on Fact-Checking Work with Implications for Computational Support Rob Procter Miguel Arana Catania Yulan He Maria Liakata A. Zubiaga E. Kochkina Runcong Zhao 36 10 0 03 May 2023
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 188 454 0 29 Apr 2021
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014