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Workshop
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Sat 11:30
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Contributed talk: How well do deep neural networks trained on object recognition characterize the mouse visual system? Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge,
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Poster
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Thu 17:00
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STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Karim Ahmed · Lorenzo Torresani
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Poster
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Thu 17:00
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Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng · Jianlong Fu · Zheng-Jun Zha · Jiebo Luo
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Poster
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Thu 17:00
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Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma
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Workshop
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Fri 11:50
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Making the next generation of machine learning datasets: ObjectNet a new object recognition benchmark
Andrei Barbu
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Poster
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Thu 10:45
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Gaussian-Based Pooling for Convolutional Neural Networks
Takumi Kobayashi
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Poster
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Tue 10:45
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Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Hosein Hasani · Mahdieh Soleymani · Hamid Aghajan
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Poster
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Thu 17:00
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Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou · Daniel Coelho de Castro · Konstantinos Kamnitsas · Ben Glocker
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Poster
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Thu 17:00
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Stacked Capsule Autoencoders
Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton
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Poster
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Tue 17:30
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DetNAS: Backbone Search for Object Detection
Yukang Chen · Tong Yang · Xiangyu Zhang · GAOFENG MENG · Xinyu Xiao · Jian Sun
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Poster
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Tue 17:30
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Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng
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Poster
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Thu 17:00
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ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu · David Mayo · Julian Alverio · William Luo · Christopher Wang · Dan Gutfreund · Josh Tenenbaum · Boris Katz
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