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39 Results
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Poster
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Re-calibrating Feature Attributions for Model Interpretation Peiyu Yang · NAVEED AKHTAR · Zeyi Wen · Mubarak Shah · Ajmal Mian |
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Poster
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A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu · Xi Zhang · Sihong Xie |
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Poster
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Wed 2:30 |
Robust Explanation Constraints for Neural Networks Matthew Wicker · Juyeon Heo · Luca Costabello · Adrian Weller |
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Poster
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Wed 7:30 |
Label-free Concept Bottleneck Models Tuomas Oikarinen · Subhro Das · Lam Nguyen · Tsui-Wei Weng |
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Poster
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Wed 2:30 |
Temporal Dependencies in Feature Importance for Time Series Prediction Kin Kwan Leung · Clayton Rooke · Jonathan Smith · Saba Zuberi · Maksims Volkovs |
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Oral
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Wed 6:20 |
WikiWhy: Answering and Explaining Cause-and-Effect Questions Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang |
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Poster
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Wed 7:30 |
WikiWhy: Answering and Explaining Cause-and-Effect Questions Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang |
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Poster
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Mon 2:30 |
Learning to Estimate Shapley Values with Vision Transformers Ian Covert · Chanwoo Kim · Su-In Lee |
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Poster
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Tue 2:30 |
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein |
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Oral
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Tue 1:50 |
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein |
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Poster
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Wed 2:30 |
Explaining RL Decisions with Trajectories Shripad Deshmukh · Arpan Dasgupta · Balaji Krishnamurthy · Nan Jiang · Chirag Agarwal · Georgios Theocharous · Jayakumar Subramanian |
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Workshop
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Tutorial: Quantus x Climate - Applying explainable AI evaluation in climate science Philine Bommer · Anna Hedström · Marlene Kretschmer · Marina Höhne |