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Interpretability

49 directly classified papers

Papers per year

Papers

Tracing and Manipulating intermediate values in Neural Math Problem Solvers EMNLP 2022
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning ACL 2021
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ACL 2021
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models ACL 2021
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation AAAI 2021
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations AAAI 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021
Neural Response Interpretation Through the Lens of Critical Pathways CVPR 2021
Inserting Information Bottlenecks for Attribution in Transformers EMNLP 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions NIPS 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020
Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020
Analyzing Individual Neurons in Pre-trained Language Models EMNLP 2020
Classifier-Agnostic Saliency Map Extraction AAAI 2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction NIPS 2019
Attention is not not Explanation EMNLP 2019
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style EMNLP 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections NIPS 2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP 2018
Learning Explanations from Language Data EMNLP 2018
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks CVPR 2018