ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.00954
  4. Cited By
Visualizing Deep Networks by Optimizing with Integrated Gradients

Visualizing Deep Networks by Optimizing with Integrated Gradients

2 May 2019
Zhongang Qi
Saeed Khorram
Fuxin Li
    FAtt
ArXivPDFHTML

Papers citing "Visualizing Deep Networks by Optimizing with Integrated Gradients"

14 / 14 papers shown
Title
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Meghali Nandi
Arash Shaghaghi
Nazatul Haque Sultan
Gustavo Batista
Raymond K. Zhao
Sanjay Jha
AAML
12
0
0
16 May 2025
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition
Weiyi Zhang
Peranut Chotcomwongse
Yinwen Li
Pusheng Xu
Ruijie Yao
...
Shujun Wang
Yalin Zheng
M. He
Danli Shi
Paisan Ruamviboonsuk
31
0
0
09 May 2025
Post-hoc and manifold explanations analysis of facial expression data
  based on deep learning
Post-hoc and manifold explanations analysis of facial expression data based on deep learning
Yang Xiao
31
0
0
29 Apr 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
29
19
0
15 Mar 2024
CEIR: Concept-based Explainable Image Representation Learning
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui
Shuhong Liu
Liuzhuozheng Li
Zhiyuan Yuan
SSL
VLM
31
3
0
17 Dec 2023
Precise Benchmarking of Explainable AI Attribution Methods
Precise Benchmarking of Explainable AI Attribution Methods
Rafael Brandt
Daan Raatjens
G. Gaydadjiev
XAI
27
4
0
06 Aug 2023
Impossibility Theorems for Feature Attribution
Impossibility Theorems for Feature Attribution
Blair Bilodeau
Natasha Jaques
Pang Wei Koh
Been Kim
FAtt
20
68
0
22 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via
  Explanation Methods
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
Ming-Xiu Jiang
Saeed Khorram
Li Fuxin
FAtt
27
9
0
13 Dec 2022
Maximum Entropy Baseline for Integrated Gradients
Maximum Entropy Baseline for Integrated Gradients
Hanxiao Tan
FAtt
24
4
0
12 Apr 2022
From Heatmaps to Structural Explanations of Image Classifiers
From Heatmaps to Structural Explanations of Image Classifiers
Li Fuxin
Zhongang Qi
Saeed Khorram
Vivswan Shitole
Prasad Tadepalli
Minsuk Kahng
Alan Fern
XAI
FAtt
23
4
0
13 Sep 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep
  Convolutional Networks
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
Qing-Long Zhang
Lu Rao
Yubin Yang
16
58
0
25 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel
  Synthetic Benchmark Dataset
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
Antonios Mamalakis
I. Ebert‐Uphoff
E. Barnes
OOD
30
75
0
18 Mar 2021
iGOS++: Integrated Gradient Optimized Saliency by Bilateral
  Perturbations
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
Saeed Khorram
T. Lawson
Fuxin Li
AAML
FAtt
11
26
0
31 Dec 2020
Explaining Convolutional Neural Networks using Softmax Gradient
  Layer-wise Relevance Propagation
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
FAtt
35
94
0
06 Aug 2019
1