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Workshop
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How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
Emin Orhan
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Affinity Workshop
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Fast Parameter Tuning for Rule-base Planners towards Human-like Driving
Shu Jiang · Szu-Hao Wu
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Workshop
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Sat 10:30
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Simulating Human Gaze with Neural Visual Attention
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca
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Workshop
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The more human-like the language model, the more surprisal is the best predictor of N400 amplitude
James Michaelov · Benjamin Bergen
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Workshop
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Sat 9:55
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The more human-like the language model, the more surprisal is the best predictor of N400 amplitude
James Michaelov · Benjamin Bergen
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Poster
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Tue 9:00
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How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
Chengxu Zhuang · Ziyu Xiang · Yoon Bai · Xiaoxuan Jia · Nicholas Turk-Browne · Kenneth Norman · James J DiCarlo · Dan Yamins
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Workshop
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Improving the Strength of Human-Like Models in Chess
Saumik Narayanan · Kassa Korley · Chien-Ju Ho · Siddhartha Sen
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Poster
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HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process
Haoran Wei · Ping Guo · Yangguang Zhu · Chenglong Liu · Peng Wang
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Poster
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Tue 14:00
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Diversity vs. Recognizability: Human-like generalization in one-shot generative models
Victor Boutin · Lakshya Singhal · Xavier Thomas · Thomas Serre
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Workshop
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Sat 9:08
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Simulating Human Gaze with Neural Visual Attention
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca
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