SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure Paul Novello Thomas Fel David Vigouroux FAtt 22 28 0 13 Jun 2022
Geometrically Guided Integrated Gradients Md. Mahfuzur Rahman N. Lewis Sergey Plis FAtt AAML 18 0 0 13 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 43 6 0 12 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 40 15 0 10 Jun 2022
GAMR: A Guided Attention Model for (visual) Reasoning Mohit Vaishnav Thomas Serre LRM 27 16 0 10 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 25 35 0 10 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 26 36 0 08 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 36 134 0 07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 32 8 0 07 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 45 9 0 06 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 29 6 0 06 Jun 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 27 24 0 05 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan O. Arik Jinsung Yoon Ankur Taly S. Feizi Tomas Pfister MoE 31 10 0 05 Jun 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning Michael T. Lash 35 0 0 02 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 50 86 0 02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 42 38 0 02 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 31 3 0 01 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 52 18 0 31 May 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 39 2 0 31 May 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 4 1 0 30 May 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Daniel Cremers 12 1 0 30 May 2022
Saliency Map Based Data Augmentation Jalal Al-Afandi B. Magyar András Horváth 16 0 0 29 May 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 24 8 0 25 May 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 27 8 0 25 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 24 2 0 24 May 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 21 21 0 23 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 30 2 0 22 May 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 28 32 0 20 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 78 8 0 18 May 2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci J. Krichmar AAML 25 4 0 18 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 53 57 0 15 May 2022
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning Yikuan Li M. Mamouei Shishir Rao A. Hassaine D. Canoy Thomas Lukasiewicz K. Rahimi G. Salimi-Khorshidi OOD CML AI4CE 31 1 0 15 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 26 53 0 10 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 24 13 0 09 May 2022
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? Konstantin Kobs M. Steininger Andrzej Dulny Andreas Hotho 19 7 0 05 May 2022
Understanding CNNs from excitations Zijian Ying Qianmu Li Zhichao Lian Jun Hou Tong Lin Tao Wang AAML FAtt 21 1 0 02 May 2022
Poly-CAM: High resolution class activation map for convolutional neural networks A. Englebert O. Cornu Christophe De Vleeschouwer 30 10 0 28 Apr 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations Roy Schwartz Gabriel Stanovsky 42 26 0 27 Apr 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding Shenmin Zhang Jin Wang Haitao Jiang Rui Song FAtt 32 3 0 22 Apr 2022
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention Leo Schwinn Doina Precup Bjoern M. Eskofier Dario Zanca 20 7 0 19 Apr 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala Aleksander Madry 27 37 0 19 Apr 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl Georg Krispel Horst Possegger P. Roth Horst Bischof 3DPC 34 16 0 13 Apr 2022
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 24 4 0 12 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference Kerem Zaman Yonatan Belinkov 29 8 0 11 Apr 2022
Re-Examining Human Annotations for Interpretable NLP Cheng-Han Chiang Hung-yi Lee FAtt XAI 30 6 0 10 Apr 2022
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning Se-In Jang M. Girard Alexandre Hoang Thiery 20 4 0 01 Apr 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 45 130 0 31 Mar 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 29 2 0 30 Mar 2022
Recognition of polar lows in Sentinel-1 SAR images with deep learning J. Grahn F. Bianchi 38 3 0 30 Mar 2022