Assessing Shape Bias Property of Convolutional Neural Networks

21 March 2018

Papers citing "Assessing Shape Bias Property of Convolutional Neural Networks"

7 / 7 papers shown

Title
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i Kola Ayonrinde Louis Jaburi MILM 88 1 0 01 May 2025
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP Zeliang Zhang Zhuo Liu Mingqian Feng Chenliang Xu 27 3 0 23 Sep 2024
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks Sheng Cheng Yi Ren Yezhou Yang 56 2 0 27 Apr 2022
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 25 14 0 13 Sep 2021
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 22 65 0 05 Nov 2020
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 25 61 0 25 Oct 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,892 0 15 Sep 2016