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127 Results
Workshop
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Severity Assessment of COVID-19 Pneumonia from Chest X-rays using Interpretable Machine Learning and a Multi-reader Dataset Mohammadreza Zandehshahvar · Yashar Kiarashinejad · Ali Adibi |
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Workshop
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Tue 8:50 |
[S1] Interpreting BERT architecture predictions for peptide presentation by MHC class I proteins Hans-Christof Gasser |
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Workshop
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Tue 8:57 |
[S3] Interpretability in Gated Modular Neural Networks Yamuna Krishnamurthy · Chris Watkins |
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Poster
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Tue 8:30 |
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi · Alexandros Kalousis |
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Poster
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Thu 16:30 |
Fairness via Representation Neutralization Mengnan Du · Subhabrata Mukherjee · Guanchu Wang · Ruixiang Tang · Ahmed Awadallah · Xia Hu |
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Poster
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Thu 0:30 |
Learning interaction rules from multi-animal trajectories via augmented behavioral models Keisuke Fujii · Naoya Takeishi · Kazushi Tsutsui · Emyo Fujioka · Nozomi Nishiumi · Ryoya Tanaka · Mika Fukushiro · Kaoru Ide · Hiroyoshi Kohno · Ken Yoda · Susumu Takahashi · Shizuko Hiryu · Yoshinobu Kawahara |
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Poster
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Wed 0:30 |
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang · Wei Zhang · Ning Liu · Jianyong Wang |
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Poster
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Wed 16:30 |
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang |
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Poster
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Fri 8:30 |
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age Dani Kiyasseh · Tingting Zhu · David Clifton |
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Poster
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Thu 8:30 |
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems Jimmy Smith · Scott Linderman · David Sussillo |
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Spotlight
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Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton |
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Poster
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Tue 16:30 |
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning Guiliang Liu · Xiangyu Sun · Oliver Schulte · Pascal Poupart |