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Papers
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
EMNLP 2022
ExplainIt!: A Tool for Computing Robust Attributions of DNNs
IJCAI 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
NeurIPS 2022
Minimally-Supervised Relation Induction from Pre-trained Language Model
NAACL 2022
Robust Models Are More Interpretable Because Attributions Look Normal
ICML 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
AAAI 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NeurIPS 2022
Transferable Adversarial Attack based on Integrated Gradients
ICLR 2022
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
ACL 2022
Discretized Integrated Gradients for Explaining Language Models
EMNLP 2021
Explaining Deep Neural Network Models with Adversarial Gradient Integration
IJCAI 2021
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
JMLR 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
CVPR 2021
Interpreting Super-Resolution Networks With Local Attribution Maps
CVPR 2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
SemEval 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
Scaling Symbolic Methods using Gradients for Neural Model Explanation
ICLR 2021
To what extent do human explanations of model behavior align with actual model behavior?
EMNLP 2021
What does LIME really see in images?
ICML 2021
Attribution in Scale and Space
CVPR 2020
Concise Explanations of Neural Networks using Adversarial Training
ICML 2020
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
ICML 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Towards Interpreting BERT for Reading Comprehension Based QA
EMNLP 2020
Visualizing Deep Networks by Optimizing with Integrated Gradients
AAAI 2020