Affinity Workshop

Mon 7:10

Contributed talk (Silvia Tulli) - "Explanation-Guided Learning for Human-AI collaboration"
Silvia Tulli

Workshop

Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Misgina Tsighe Hagos · Kathleen Curran · Brian Mac Namee

Affinity Workshop

Explanation-Guided Learning for Human-AI collaboration
Silvia Tulli

Workshop

MEGAN: Multi Explanation Graph Attention Network
Jonas Teufel · Luca Torresi · Patrick Reiser · Pascal Friederich

Affinity Workshop

Explaining Predictive Uncertainty by Looking Back at Model Explanations
Hanjie Chen · Wanyu Du · Yangfeng Ji

Workshop

What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML
Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez

Workshop

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

Affinity Workshop

Shapelet Guided Counterfactual Explanation Generation for Black-Box Time Series Classifiers
Tina Han · Jette Henderson

Workshop

Workshop

Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification
Ahmad Wisnu Mulyadi · Wonsik Jung · Kwanseok Oh · Jee Seok Yoon · Heung-Il Suk

Workshop

Fri 13:00

Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings
Tina Han · Jette Henderson · Pedram Akbarian Saravi · Joydeep Ghosh

Workshop

Post-Hoc Attribute-Based Explanations for Recommender Systems
Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri