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114 Results
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Poster
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Wed 9:00 |
How to train your MAML Antreas Antoniou · Harrison Edwards · Amos Storkey |
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Poster
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Tue 14:30 |
Evaluating Robustness of Neural Networks with Mixed Integer Programming Vincent Tjeng · Kai Xiao · Russ Tedrake |
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Poster
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Tue 14:30 |
Verification of Non-Linear Specifications for Neural Networks Chongli Qin · Krishnamurthy Dvijotham · Brendan ODonoghue · Rudy R Bunel · Robert Stanforth · Sven Gowal · Jonathan Uesato · Grzegorz Swirszcz · Pushmeet Kohli |
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Oral
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Mon 13:30 |
How Powerful are Graph Neural Networks? Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka |
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Oral
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Mon 13:45 |
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 |
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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Tue 14:30 |
INVASE: Instance-wise Variable Selection using Neural Networks Jinsung Yoon · James Jordon · Mihaela Schaar |
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Oral
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Thu 8:30 |
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 |
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 |
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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Thu 9:00 |
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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Thu 9:00 |
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control Robert Csordas · Jürgen Schmidhuber |