Do Convolutional Neural Networks Learn Class Hierarchy?

17 October 2017

Xiaoming Liu

Papers citing "Do Convolutional Neural Networks Learn Class Hierarchy?"

35 / 35 papers shown

Title
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 27 0 0 01 Nov 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 29 0 07 Jun 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 25 5 0 19 May 2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors R. Moretti Michele Grossi M. Biassoni Andrea Giachero Marco Rossi D. Guffanti Danilo Labranca F. Terranova S. Vallecorsa 22 4 0 16 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao W. Wang Yifan Zhang 48 6 0 26 Apr 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 30 10 0 10 Mar 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
A Survey of Neural Trees Haoling Li Jie Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 20 6 0 07 Sep 2022
Learning Hierarchy Aware Features for Reducing Mistake Severity Ashima Garg Depanshu Sani Saket Anand 19 18 0 26 Jul 2022
On Label Granularity and Object Localization Elijah Cole Kimberly Wilber Grant Van Horn Xuan S. Yang Marco Fornoni Pietro Perona Serge J. Belongie Andrew G. Howard Oisin Mac Aodha WSOL 30 13 0 20 Jul 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 30 16 0 09 Jun 2022
Revisiting the Design Patterns of Composite Visualizations Dazhen Deng Weiwei Cui Xiyu Meng Mengye Xu Yu Liao Haidong Zhang Yingcai Wu 21 15 0 20 Mar 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 21 37 0 06 Feb 2022
Won't you see my neighbor?: User predictions, mental models, and similarity-based explanations of AI classifiers K. Glasgow Jonathan J. Kopecky J. Gersh Adam C. G. Crego 15 0 0 31 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 16 1 0 31 Dec 2021
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning Ashima Garg Shaurya Bagga Yashvardhan Singh Saket Anand 22 12 0 30 Oct 2021
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks Xiwei Xuan Xiaoyu Zhang Oh-Hyun Kwon K. Ma HAI 16 17 0 25 Oct 2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks Shyamgopal Karthik Ameya Prabhu P. Dokania Vineet Gandhi 14 21 0 01 Apr 2021
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 21 47 0 08 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 6 56 0 14 Aug 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 45 33 0 28 Jul 2020
Hierarchical Class-Based Curriculum Loss Palash Goyal Shalini Ghosh 14 8 0 05 Jun 2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau HAI FAtt 22 240 0 30 Apr 2020
SANVis: Visual Analytics for Understanding Self-Attention Networks Cheonbok Park Inyoup Na Yongjang Jo Sungbok Shin J. Yoo Bum Chul Kwon Jian Zhao Hyungjong Noh Yeonsoo Lee Jaegul Choo HAI 35 38 0 13 Sep 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 31 20 0 19 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 19 213 0 04 Apr 2019
A User-based Visual Analytics Workflow for Exploratory Model Analysis Dylan Cashman S. Humayoun Florian Heimerl Kendall Park Subhajit Das ... Abigail Mosca J. Stasko Alex Endert Michael Gleicher Remco Chang 21 41 0 27 Sep 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 12 214 0 17 Jul 2018
Cognitive Radar Antenna Selection via Deep Learning Ahmet M. Elbir Kumar Vijay Mishra Yonina C. Eldar 16 99 0 27 Feb 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014