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Poster
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Tue 8:45
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StateMask: Explaining Deep Reinforcement Learning through State Mask
Zelei Cheng · Xian Wu · Jiahao Yu · Wenhai Sun · Wenbo Guo · Wenbo Guo · Xinyu Xing
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Poster
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Tue 15:15
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Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
Galen Pogoncheff · Jacob Granley · Michael Beyeler
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Workshop
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Sat 12:15
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PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
Hao Zhang · Tianpei Yang · YAN ZHENG · Jianye Hao · Matthew Taylor
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Poster
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Tue 15:15
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V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Senzhang Wang · Jun Yin · Chaozhuo Li · Xing Xie · Jianxin Wang
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Poster
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Thu 15:00
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[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
Yannik Mahlau · Lukas Berg · Leonie Kayser
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Poster
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Thu 8:45
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Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
Jun Yin · Chaozhuo Li · Hao Yan · Jianxun Lian · Senzhang Wang
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Workshop
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deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
Sankalp Gilda
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Poster
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Wed 15:00
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LICO: Explainable Models with Language-Image COnsistency
Yiming Lei · Zilong Li · Yangyang Li · Junping Zhang · Hongming Shan
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Workshop
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The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation
Jimeng Shi · Vitalii Stebliankin · Giri Narasimhan
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Poster
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Thu 8:45
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Representation Learning via Consistent Assignment of Views over Random Partitions
Thalles Santos Silva · Adín Ramírez Rivera
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Workshop
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Sat 12:01
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Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Alexander Tapley
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Workshop
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Sat 9:05
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Low-precision Sampling for Probabilistic Deep Learning
Ruqi Zhang
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