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Workshop
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Towards Better User Requirements: How to Involve Human Participants in XAI Research
Thu Nguyen · Jichen Zhu
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Workshop
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Honesty as the Primary Design Guidelineof Machine Learning User Interfaces
Claudio Pinhanez
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Workshop
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Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe
Eli Draizen · Cameron Mura · Philip Bourne
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Workshop
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Trajectory-based Explainability Framework for Offline RL
Shripad Deshmukh · Arpan Dasgupta · Chirag Agarwal · Nan Jiang · Balaji Krishnamurthy · Georgios Theocharous · Jayakumar Subramanian
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Workshop
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Towards Reasoning-Aware Explainable VQA
Rakesh Vaideeswaran · Feng Gao · ABHINAV MATHUR · Govindarajan Thattai
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Workshop
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TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack · Satyapriya Krishna · Himabindu Lakkaraju · Sameer Singh
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Workshop
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Detecting COVID-19 infection from ultrasound imaging with only five shots: A high-performing explainable deep few-shot learning network
Jessy Song · Ashkan Ebadi · Adrian Florea · PENGCHENG XI · Alexander Wong
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Workshop
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Fri 13:00
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A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
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Poster
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Thu 14:00
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SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
Roxana Daneshjou · Mert Yuksekgonul · Zhuo Ran Cai · Roberto Novoa · James Zou
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Workshop
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Trust Explanations to Do What They Say
Neil Natarajan · Reuben Binns · Jun Zhao · Nigel Shadbolt
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Poster
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Wed 14:00
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OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal · Satyapriya Krishna · Eshika Saxena · Martin Pawelczyk · Nari Johnson · Isha Puri · Marinka Zitnik · Himabindu Lakkaraju
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Expo Talk Panel
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Mon 7:30
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TIPDAT: ML based Optimization Explainer
Manan Chopra · Saurabh Unercat · Brijesh Singhal · Sholeh Forouzan
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