X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering

24 July 2021

Papers citing "X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering"

7 / 7 papers shown

Title
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering Zeqing Wang Wentao Wan Qiqing Lao Runmeng Chen Minjie Lang Keze Wang Liang Lin Liang Lin LRM 99 3 0 17 Feb 2025
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning Zhuowan Li Xingrui Wang Elias Stengel-Eskin Adam Kortylewski Wufei Ma Benjamin Van Durme Max Planck Institute for Informatics OOD LRM 19 56 0 01 Dec 2022
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 18 12 0 29 Nov 2021
Language bias in Visual Question Answering: A Survey and Taxonomy Desen Yuan 13 12 0 16 Nov 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz A. Schwing Tamir Hazan 51 89 0 21 Oct 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 142 290 0 14 Mar 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 891 0 11 Nov 2017