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Poster
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Wed 9:00
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How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
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Oral
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Mon 13:30
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How Powerful are Graph Neural Networks?
Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka
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Poster
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Thu 9:00
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Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
Patrick CHen · Si Si · Sanjiv Kumar · Yang Li · Cho-Jui Hsieh
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Poster
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Tue 14:30
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INVASE: Instance-wise Variable Selection using Neural Networks
Jinsung Yoon · James Jordon · Mihaela Schaar
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Oral
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Mon 13:45
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle · Michael Carbin
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Poster
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Wed 14:30
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Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
Marton Havasi · Robert Peharz · José Miguel Hernández Lobato
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Poster
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Thu 9:00
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Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Robert Csordas · Jürgen Schmidhuber
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Oral
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Thu 8:30
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Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen · Shawn Tan · Alessandro Sordoni · Aaron Courville
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Oral
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Wed 8:15
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Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt
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Oral
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Tue 13:15
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Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramer · Dan Boneh
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Poster
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Tue 14:30
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Towards the first adversarially robust neural network model on MNIST
Lukas Schott · Jonas Rauber · Matthias Bethge · Wieland Brendel
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Poster
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Wed 14:30
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Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn · Dongsoo Lee · Taesu Kim · Jae-Joon Kim
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