v1v2 (latest)

Visual Interpretability for Deep Learning: a Survey

2 February 2018

Papers citing "Visual Interpretability for Deep Learning: a Survey"

50 / 258 papers shown

Title
Interpreting Basis Path Set in Neural Networks Juanping Zhu Qi Meng Wei Chen Zhi-Ming Ma 20 4 0 18 Oct 2019
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data Ludwig Schallner Johannes Rabold O. Scholz Ute Schmid FAtt 93 21 0 17 Oct 2019
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations Abby Stylianou Richard Souvenir Robert Pless 42 6 0 08 Oct 2019
Gated Linear Networks William H. Guss Tor Lattimore David Budden Avishkar Bhoopchand Christopher Mattern ... Ruslan Salakhutdinov Jianan Wang Peter Toth Simon Schmitt Marcus Hutter AI4CE 116 41 0 30 Sep 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Yuyang Gao Giorgio Ascoli Liang Zhao 70 16 0 27 Sep 2019
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface Zhao Han Jordan Allspaw Adam Norton Holly Yanco 28 5 0 13 Sep 2019
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations Betty van Aken B. Winter Alexander Loser Felix Alexander Gers 78 154 0 11 Sep 2019
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures Gil Fidel Ron Bitton A. Shabtai FAtt GAN 63 120 0 08 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 159 74 0 08 Sep 2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Parth Natekar Avinash Kori Ganapathy Krishnamurthi 46 1 0 03 Sep 2019
A Tour of Convolutional Networks Guided by Linear Interpreters Pablo Navarrete Michelini Hanwen Liu Yunhua Lu Xingqun Jiang HAI FAtt 43 7 0 14 Aug 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks Jörg Wagner Jan M. Köhler Tobias Gindele Leon Hetzel Thaddäus Wiedemer Sven Behnke AAML FAtt 92 122 0 07 Aug 2019
Min-max Entropy for Weakly Supervised Pointwise Localization Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 36 0 0 25 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing Yong Wang Zhihua Jin Qianwen Wang Weiwei Cui Tengfei Ma Huamin Qu 74 56 0 17 Jul 2019
Explaining Deep Learning Models with Constrained Adversarial Examples J. Moore Nils Y. Hammerla C. Watkins AAML GAN 67 38 0 25 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks Florian Dubost H. Adams P. Yilmaz Gerda Bortsova Gijs van Tulder M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 70 43 0 05 Jun 2019
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics Qijian Chen Lihui Wang Li-Wen Wang Zeyu Deng Jian Zhang Yuemin M. Zhu 18 10 0 23 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 153 52 0 20 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 68 118 0 10 May 2019
Intentional Attention Mask Transformation for Robust CNN Classification Masanari Kimura Masayuki Tanaka OOD 19 0 0 07 May 2019
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks Masanari Kimura Masayuki Tanaka FAtt 26 3 0 30 Apr 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 83 206 0 17 Apr 2019
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking Casper Hansen Christian B. Hansen Stephen Alstrup J. Simonsen Christina Lioma 67 43 0 20 Mar 2019
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar A. Akbarinia K. Gegenfurtner DRL 37 5 0 12 Mar 2019
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification Rémi Domingues AAML 35 3 0 05 Mar 2019
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer Wei‐Wen Hsu Chung-Hao Chen C. Hoa Yu-Ling Hou Xiang Gao Y. Shao Xueli Zhang Jingjing Wang Tao He Yan Tai MedIm OOD 18 1 0 04 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 96 302 0 28 Feb 2019
A comparative evaluation of novelty detection algorithms for discrete sequences Rémi Domingues Pietro Michiardi Jérémie Barlet Maurizio Filippone 40 20 0 28 Feb 2019
Human-Centered Artificial Intelligence and Machine Learning Mark O. Riedl SyDa 126 271 0 31 Jan 2019
Deep Features Analysis with Attention Networks Shipeng Xie Da Chen Rong Zhang Hui Xue FAtt XAI 53 5 0 20 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 61 54 0 08 Jan 2019
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation Xuan Liu Xiaoguang Wang Stan Matwin HAI 65 101 0 28 Dec 2018
ECG Segmentation by Neural Networks: Errors and Correction Iana Sereda Sergey Alekseev A. Koneva R. Kataev Grigory V. Osipov UQCV 59 27 0 26 Dec 2018
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 104 558 0 21 Dec 2018
Variational Saccading: Efficient Inference for Large Resolution Images Jason Ramapuram M. Diephuis Frantzeska Lavda Russ Webb Alexandros Kalousis 88 5 0 08 Dec 2018
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks Shuai Li 93 2 0 30 Nov 2018
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 119 102 0 28 Nov 2018
Interpretable Convolutional Filters with SincNet Mirco Ravanelli Yoshua Bengio 93 107 0 23 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson 140 6 0 12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 65 3 0 11 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 187 144 0 15 Oct 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 39 9 0 29 Sep 2018
Multigrid Backprojection Super-Resolution and Deep Filter Visualization Pablo Navarrete Michelini Hanwen Liu Dan Zhu SupR 72 20 0 25 Sep 2018
Towards Better Interpretability in Deep Q-Networks Raghuram Mandyam Annasamy Katia Sycara FAtt 52 59 0 15 Sep 2018
An iterative method for classification of binary data Denali Molitor Deanna Needell 10 1 0 09 Sep 2018
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems Inigo Jauregi Unanue E. Z. Borzeshi Massimo Piccardi 62 6 0 01 Jul 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 143 166 0 20 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype Abel Torres Montoya 47 0 0 06 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 121 1,868 0 31 May 2018