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Poster
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Tue 9:00
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Inherently Explainable Reinforcement Learning in Natural Language
Xiangyu Peng · Mark Riedl · Prithviraj Ammanabrolu
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Poster
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Tue 14:00
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Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
Artyom Sorokin · Nazar Buzun · Leonid Pugachev · Mikhail Burtsev
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Poster
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Wed 9:00
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“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations
Yipei Wang · Xiaoqian Wang
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Poster
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Thu 14:00
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Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Mateo Espinosa Zarlenga · Pietro Barbiero · Gabriele Ciravegna · Giuseppe Marra · Francesco Giannini · Michelangelo Diligenti · Zohreh Shams · Frederic Precioso · Stefano Melacci · Adrian Weller · Pietro Lió · Mateja Jamnik
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Workshop
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PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz · Kashyap Chitta · Otniel-Bogdan Mercea · A. Sophia Koepke · Zeynep Akata · Andreas Geiger
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Workshop
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Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati · Jérémy Rapin · Yann Ollivier
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Affinity Workshop
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Crop Recommendation for Precision Agriculture using Machine Learning techniques – Towards a More Sustainable Agriculture.
Damilola Adegoke
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Workshop
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Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Victoria Helus · Nathan Vaska · Natalie Abreu
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Affinity Workshop
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Temporal Cycle Consistency: for a Video-to-Video Translation.
Kirubel Abebe Senbeto
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Workshop
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Explainable Representations of Human Interaction: Engagement Recognition model with Video Augmentation
Yubin Kim · Hae Park · Sharifa Alghowinem
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Workshop
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Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa
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Competition
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Thu 6:20
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Closing Remakrs
David Kreil
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