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Interpretability

36 directly classified papers

Papers per year

Papers

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract) AAAI 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022
Revisiting Sparse Convolutional Model for Visual Recognition NIPS 2022
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation IJCNLP 2021
Transformer Interpretability Beyond Attention Visualization CVPR 2021
Improving Deep Learning Interpretability by Saliency Guided Training NIPS 2021
Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021
Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract) AAAI 2020
There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020
Revealing the Dark Secrets of BERT EMNLP 2019
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models EMNLP 2018