neural network interpretability

Neural Response Interpretation Through the Lens of Critical Pathways CVPR 2021 Passive attention in artificial neural networks predicts human visual selectivity NeurIPS 2021 Towards Better Explanations of Class Activation Mapping ICCV 2021 TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks ICLR 2021 Analyzing analytical methods: The case of phonology in neural models of spoken language ACL 2020 Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract) AAAI 2020 Evaluating Attribution Methods using White-Box LSTMs EMNLP 2020 Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020 Exploring End-to-End Differentiable Natural Logic Modeling COLING 2020 Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models ACL 2020 Interpretability and Analysis in Neural NLP ACL 2020 Interpretable and Accurate Fine-grained Recognition via Region Grouping CVPR 2020 Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020 Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks AAAI 2020 Restricting the Flow: Information Bottlenecks for Attribution ICLR 2020 Reverse-engineering deep ReLU networks ICML 2020 Staying True to Your Word: (How) Can Attention Become Explanation? ACL 2020 What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information? Interspeech 2020 A Benchmark for Interpretability Methods in Deep Neural Networks NeurIPS 2019 Explaining Neural Networks Semantically and Quantitatively ICCV 2019 Explanations can be manipulated and geometry is to blame NeurIPS 2019 From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction NeurIPS 2019 Hierarchical interpretations for neural network predictions ICLR 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019