Understanding Multimodal Deep Neural Networks: A Concept Selection View

Understanding Multimodal Deep Neural Networks: A Concept Selection View

13 April 2024

Yujiu Yang

Papers citing "Understanding Multimodal Deep Neural Networks: A Concept Selection View"

8 / 8 papers shown

Title
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model Hengyuan Zhang Yanru Wu Dawei Li Zacc Yang Rui Zhao Yong Jiang Fei Tan ALM 17 1 0 16 Apr 2024
Incremental Residual Concept Bottleneck Models Chenming Shang Shiji Zhou Hengyuan Zhang Xinzhe Ni Yujiu Yang Yuwang Wang 21 14 0 13 Apr 2024
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models Hengyuan Zhang Zitao Liu Chenming Shang Dawei Li Yong Jiang AI4Ed 39 8 0 12 Mar 2024
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning Hengyuan Zhang Zitao Liu Shuyan Huang Chenming Shang Bojun Zhan Yong Jiang 14 4 0 11 Mar 2024
Multi-level Contrastive Learning for Script-based Character Understanding Dawei Li Hengyuan Zhang Yanran Li Shiping Yang 35 17 0 20 Oct 2023
Fine-grained Contrastive Learning for Definition Generation Hengyuan Zhang Dawei Li Shiping Yang Yanran Li 34 7 0 02 Oct 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 96 64 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 130 182 0 31 May 2022