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82 Results
Workshop
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Soft prompting might be a bug, not a feature Luke Bailey · Gustaf Ahdritz · Anat Kleiman · Siddharth Swaroop · Finale Doshi-Velez · Weiwei Pan |
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Fri 14:10 |
Explaining Graph Neural Networks Using Interpretable Local Surrogates Farzaneh Heidari · Guillaume Rabusseau · Perouz Taslakian |
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Signature Activation: A Sparse Signal View for Holistic Saliency Jose Tello Ayala · Akl Fahed · Weiwei Pan · Eugene Pomerantsev · Patrick Ellinor · Anthony Philippakis · Finale Doshi-Velez |
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Workshop
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Signature Activation: A Sparse Signal View for Holistic Saliency Jose Tello Ayala · Akl Fahed · Weiwei Pan · Eugene Pomerantsev · Patrick Ellinor · Anthony Philippakis · Finale Doshi-Velez |
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Towards Interpretable Classification of Leukocytes based on Deep Learning Stefan Röhrl · Johannes Groll · Manuel Lengl · Simon Schumann · Christian Klenk · Dominik Heim · Martin Knopp · Oliver Hayden · Klaus Diepold |
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(Un)interpretability of Transformers: a case study with Dyck grammars Kaiyue Wen · Yuchen Li · Bingbin Liu · Andrej Risteski |
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Fri 14:00 |
Outstanding Paper: Interpreting Robustness Proofs of Deep Neural Networks - Debangshu Banerjee, Avaljot Singh, Gagandeep Singh Debangshu Banerjee |
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An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data Afrah Shafquat · Mandis Beigi · Chufan Gao · Jason Mezey · Jimeng Sun · Jacob Aptekar |
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Feature Importance Measurement based on Decision Tree Sampling CHAO HUANG · Diptesh Das · Koji Tsuda |
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation Dhruv Pai · Andres Carranza · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo |
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Dimensionality Reduction as Probabilistic Inference Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence |
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Co-creating a globally interpretable model with human input Rahul Nair |