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26 Results
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Poster
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Thu 7:45 |
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks Anirvan Sengupta · Cengiz Pehlevan · Mariano Tepper · Alexander Genkin · Dmitri Chklovskii |
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Poster
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Thu 7:45 |
Learning to Teach with Dynamic Loss Functions Lijun Wu · Fei Tian · Yingce Xia · Yang Fan · Tao Qin · Lai Jian-Huang · Tie-Yan Liu |
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Poster
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Thu 7:45 |
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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Tue 7:45 |
Learning a latent manifold of odor representations from neural responses in piriform cortex Anqi Wu · Stan Pashkovski · Sandeep Datta · Jonathan Pillow |
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Poster
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Tue 14:00 |
Task-Driven Convolutional Recurrent Models of the Visual System Aran Nayebi · Daniel Bear · Jonas Kubilius · Kohitij Kar · Surya Ganguli · David Sussillo · James J DiCarlo · Daniel Yamins |
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Poster
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Thu 7:45 |
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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Tue 7:45 |
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans Gamaleldin Elsayed · Shreya Shankar · Brian Cheung · Nicolas Papernot · Alexey Kurakin · Ian Goodfellow · Jascha Sohl-Dickstein |
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Poster
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Thu 14:00 |
Scaling the Poisson GLM to massive neural datasets through polynomial approximations David Zoltowski · Jonathan Pillow |
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Poster
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Wed 14:00 |
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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Wed 14:00 |
Recurrent World Models Facilitate Policy Evolution David Ha · Jürgen Schmidhuber |
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Poster
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Thu 7:45 |
Toddler-Inspired Visual Object Learning Sven Bambach · David Crandall · Linda Smith · Chen Yu |
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Poster
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Wed 14:00 |
Long short-term memory and Learning-to-learn in networks of spiking neurons Guillaume Bellec · Darjan Salaj · Anand Subramoney · Robert Legenstein · Wolfgang Maass |