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feature visualization

35 papers

Papers

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models AAAI 2025 From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models ICML 2025 Network Inversion of Convolutional Neural Nets (Student Abstract) AAAI 2025 Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment AAAI 2025 VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow ICCV 2025 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 Don’t trust your eyes: on the (un)reliability of feature visualizations ICML 2024 Parallel Backpropagation for Shared-Feature Visualization NeurIPS 2024 Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text SemEval 2024 A Study on Visualization of Voiceprint Feature Interspeech 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization NeurIPS 2023 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022 A Framework to Learn with Interpretation NeurIPS 2021 CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency CVPR 2021 Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization ICLR 2021 How Well do Feature Visualizations Support Causal Understanding of CNN Activations? NeurIPS 2021 Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract) AAAI 2021 Attack to Explain Deep Representation CVPR 2020 Visualizing Deep Networks by Optimizing with Integrated Gradients AAAI 2020 Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data Interspeech 2019 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks ICLR 2019 NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019 Understanding and Visualizing Deep Visual Saliency Models CVPR 2019 Understanding Deep Networks via Extremal Perturbations and Smooth Masks ICCV 2019