conftrace_

saliency map

125 papers

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Co-occurring keywords

neural network (6616) convolutional neural network (4226) explainable ai (480) model interpretability (519) feature attribution (280) image classification (1944) adversarial attack (1621) attribution method (79) deep learning (2118) deep neural network (1803)

Papers

Improving Saliency Models' Predictions of the Next Fixation With Humans' Intrinsic Cost of Gaze Shifts WACV 2023
Sparse Activations for Interpretable Disease Grading MIDL 2023
On the Relationship Between Explanation and Prediction: A Causal View ICML 2023
DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations WACV 2023
Saliency Guided Experience Packing for Replay in Continual Learning WACV 2023
Faithfulness Tests for Natural Language Explanations ACL 2023
Initialization Noise in Image Gradients and Saliency Maps CVPR 2023
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective CVPR 2023
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients CVPR 2023
ViT-CX: Causal Explanation of Vision Transformers IJCAI 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NIPS 2023
Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency AAAI 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging ICML 2023
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps AAAI 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023
Learning How to MIMIC: Using Model Explanations To Guide Deep Learning Training WACV 2023
Discrete Neural Representations for Explainable Anomaly Detection WACV 2022
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors CVPR 2022
Combining Feature and Instance Attribution to Detect Artifacts ACL 2022
A Psychological Theory of Explainability ICML 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA AACL 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA IJCNLP 2022
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NIPS 2022