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Poster
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Thu 14:00
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Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
Yuxin Chen · Adish Singla · Oisin Mac Aodha · Pietro Perona · Yisong Yue
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Poster
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Thu 7:45
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Toddler-Inspired Visual Object Learning
Sven Bambach · David Crandall · Linda Smith · Chen Yu
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Poster
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Thu 14:00
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Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
Dalin Guo · Angela Yu
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Poster
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Wed 14:00
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Learning to Play With Intrinsically-Motivated, Self-Aware Agents
Nick Haber · Damian Mrowca · Stephanie Wang · Li Fei-Fei · Daniel Yamins
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Poster
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Thu 7:45
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Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Amir Dezfouli · Richard Morris · Fabio Ramos · Peter Dayan · Bernard Balleine
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Poster
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Thu 7:45
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Efficient inference for time-varying behavior during learning
Nicholas Roy · Ji Hyun Bak · Athena Akrami · Carlos Brody · Jonathan Pillow
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Poster
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Wed 14:00
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Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
Chaitanya Ryali · Gautam Reddy · Angela Yu
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Poster
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Thu 7:45
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Human-in-the-Loop Interpretability Prior
Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez
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Workshop
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Sat 5:40
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Laura Seaman - Project Alloy – Machine Learning Challenges for Researching Human-Machine Teaming
Laura Seaman
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Workshop
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Sat 11:00
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Learning to Understand Natural Language Instructions through Human-Robot Dialog
Raymond Mooney
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Workshop
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Sat 5:40
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Machine Learning Challenges for Researching Human-Machine Teaming
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Workshop
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Sat 10:20
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BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Maxime Chevalier-Boisvert
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