Co-occurring keywords · papers mentioning both
Papers
Gradient-based Analysis of NLP Models is Manipulable
EMNLP 2020
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
NeurIPS 2020
Interpreting Predictions of NLP Models
EMNLP 2020
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
WACV 2020
Sanity Checks for Saliency Metrics
AAAI 2020
Unsupervised Metric Relocalization Using Transform Consistency Loss
CoRL 2020
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
EMNLP 2019
Classifier-Agnostic Saliency Map Extraction
AAAI 2019
ELF: Embedded Localisation of Features in Pre-Trained CNN
ICCV 2019
Explainability Methods for Graph Convolutional Neural Networks
CVPR 2019
Explainable Deep Neural Networks for Multivariate Time Series Predictions
IJCAI 2019
Explaining Image Classifiers by Counterfactual Generation
ICLR 2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
IJCAI 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples
CVPR 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation
NeurIPS 2019
Full-Gradient Representation for Neural Network Visualization
NeurIPS 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
NeurIPS 2019
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
AAAI 2019
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
ICML 2019
PointCloud Saliency Maps
ICCV 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
ICML 2019
XRAI: Better Attributions Through Regions
ICCV 2019
A Bi-Directional Message Passing Model for Salient Object Detection
CVPR 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
ICML 2018
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
CVPR 2018