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Poster
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Wed 14:00
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Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Mohammad Reza Taesiri · Giang Nguyen · Anh Nguyen
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Poster
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Wed 9:00
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Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
Giyoung Jeon · Haedong Jeong · Jaesik Choi
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Poster
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Tue 14:00
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Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed · Dinkar Juyal · Harshith Padigela · Amaro Taylor-Weiner · Limin Yu · Aaditya Prakash
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Poster
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Thu 14:00
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ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam · Ahcène Boubekki · Stine Hansen · Suaiba Salahuddin · Robert Jenssen · Marina Höhne · Michael Kampffmeyer
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Workshop
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Fri 6:45
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The Need for Explainability in AI-Based Creativity Support Tools. Antonios Liapis, Jichen Zhu
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Affinity Workshop
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Mon 12:35
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Invited talk (Dr Hima Lakkaraju) - "A Brief History of Explainable AI: From Simple Rules to Large Pretrained Models"
Himabindu Lakkaraju
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Workshop
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Fri 11:25
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To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan Shen · Shanduojiao Jiang · Yanlin Chen · Katherine Driggs-Campbell
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Workshop
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Science Communications for Explainable AI (XAI)
Simon Hudson · Matija Franklin
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Workshop
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To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan Shen · Shanduojiao Jiang · Yanlin Chen · Katherine Driggs-Campbell
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Poster
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Thu 9:00
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Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes · Marcos Treviso · Danish Pruthi · André Martins · Graham Neubig
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Poster
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Wed 9:00
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On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh
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Poster
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Tue 14:00
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Harmonizing the object recognition strategies of deep neural networks with humans
Thomas FEL · Ivan F Rodriguez Rodriguez · Drew Linsley · Thomas Serre
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