Understanding Unimodal Bias in Multimodal Deep Linear Networks

1 December 2023

Papers citing "Understanding Unimodal Bias in Multimodal Deep Linear Networks"

7 / 7 papers shown

Title
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Xu Zheng Yuanhuiyi Lyu Lutao Jiang Danda Pani Paudel Luc Van Gool Xuming Hu 24 0 0 10 May 2025
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking) Yoonsoo Nam Seok Hyeong Lee Clementine Domine Yea Chan Park Charles London Wonyl Choi Niclas Goring Seungjai Lee AI4CE 33 0 0 28 Feb 2025
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models Olga Loginova Oleksandr Bezrukov Alexey Kravets 18 0 0 18 Oct 2024
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning Chenzhuang Du Jiaye Teng Tingle Li Yichen Liu Tianyuan Yuan Yue Wang Yang Yuan Hang Zhao 54 38 0 02 May 2023
Critical Learning Periods for Multisensory Integration in Deep Networks Michael Kleinman Alessandro Achille Stefano Soatto 17 8 0 06 Oct 2022
Towards Understanding Learning in Neural Networks with Linear Teachers Roei Sarussi Alon Brutzkus Amir Globerson FedML MLT 47 20 0 07 Jan 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz A. Schwing Tamir Hazan 51 88 0 21 Oct 2020