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Poster
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Thu 21:00
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MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Sophie Laturnus · Philipp Berens
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Poster
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Thu 9:00
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SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang · Mengye Ren · Richard Zemel
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Spotlight
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Thu 7:25
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SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang · Mengye Ren · Richard Zemel
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Poster
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Thu 21:00
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Dimensionality Reduction for the Sum-of-Distances Metric
Zhili Feng · Praneeth Kacham · David Woodruff
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Oral
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Tue 7:00
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OmniNet: Omnidirectional Representations from Transformers
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
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Poster
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Thu 21:00
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Disentangling syntax and semantics in the brain with deep networks
Charlotte Caucheteux · Alexandre Gramfort · Jean-Remi King
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Oral
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Wed 7:00
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Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Timothy Kim · Thomas Luo · Jonathan Pillow · Carlos Brody
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Poster
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Wed 9:00
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Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Timothy Kim · Thomas Luo · Jonathan Pillow · Carlos Brody
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Spotlight
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Wed 7:30
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SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao YANG · Ru-Yuan Zhang · Lida LI · Xiaohua Xie
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Spotlight
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Wed 7:35
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Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha · Michael J. Morais · Jonathan Pillow
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