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21 Results

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Poster
Thu 7:45 Incorporating Context into Language Encoding Models for fMRI
Shailee Jain · Alexander Huth
Poster
Tue 14:00 Generalisation of structural knowledge in the hippocampal-entorhinal system
James Whittington · Timothy Muller · Shirely Mark · Caswell Barry · Tim Behrens
Poster
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
Poster
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
Poster
Thu 7:45 Toddler-Inspired Visual Object Learning
Sven Bambach · David Crandall · Linda Smith · Chen Yu
Poster
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
Poster
Thu 7:45 Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov · Adam Santoro · Blake Richards · Luke Marris · Geoffrey E Hinton · Timothy Lillicrap
Poster
Wed 14:00 Recurrent World Models Facilitate Policy Evolution
David Ha · Jürgen Schmidhuber
Poster
Thu 7:45 Generalisation in humans and deep neural networks
Robert Geirhos · Carlos R. M. Temme · Jonas Rauber · Heiko H. Schütt · Matthias Bethge · Felix A. Wichmann
Poster
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
Poster
Tue 7:45 Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley · Junkyung Kim · Vijay Veerabadran · Charles Windolf · Thomas Serre
Poster
Tue 14:00 Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
Chaitanya Ryali · Angela Yu