Understanding Intra-Class Knowledge Inside CNN

Understanding Intra-Class Knowledge Inside CNN

9 July 2015

Antonio Torrabla

William Freeman

Papers citing "Understanding Intra-Class Knowledge Inside CNN"

19 / 19 papers shown

Title
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 44 1 0 29 Apr 2024
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 36 1 0 26 Sep 2023
Experimental Observations of the Topology of Convolutional Neural Network Activations Emilie Purvine Davis Brown Brett Jefferson C. Joslyn Brenda Praggastis Archit Rathore Madelyn Shapiro Bei Wang Youjia Zhou AI4CE 50 12 0 01 Dec 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 31 42 0 05 Aug 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 50 7 0 17 Mar 2022
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 24 31 0 13 Jul 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 24 28 0 21 May 2021
Refining activation downsampling with SoftPool Alexandros Stergiou R. Poppe Grigorios Kalliatakis 34 159 0 02 Jan 2021
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 30 14 0 21 Oct 2019
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 20 67 0 19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 19 160 0 18 Apr 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 52 1,423 0 14 Jan 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 13 0 0 09 Jan 2019
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 42 210 0 17 Oct 2017
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 62 671 0 30 Aug 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 31 5 0 30 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 45 471 0 24 Apr 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 28 324 0 11 Feb 2016
Seeing Behind the Camera: Identifying the Authorship of a Photograph Christopher Thomas Adriana Kovashka 24 27 0 20 Aug 2015