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31 Results
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Poster
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Wed 18:30 |
On Blackbox Backpropagation and Jacobian Sensing Krzysztof Choromanski · Vikas Sindhwani |
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Poster
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Wed 18:30 |
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models Sergey Ioffe |
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Poster
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Mon 18:30 |
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse |
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Poster
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Tue 18:30 |
Towards Accurate Binary Convolutional Neural Network Xiaofan Lin · Cong Zhao · Wei Pan |
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Poster
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Tue 18:30 |
Riemannian approach to batch normalization Minhyung Cho · Jaehyung Lee |
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Poster
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Tue 18:30 |
Reducing Reparameterization Gradient Variance Andrew Miller · Nick Foti · Alexander D'Amour · Ryan Adams |
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Poster
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Tue 18:30 |
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks Ziming Zhang · Matthew Brand |
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Poster
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Tue 18:30 |
Compression-aware Training of Deep Networks Jose Alvarez · Mathieu Salzmann |
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Poster
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Tue 18:30 |
On-the-fly Operation Batching in Dynamic Computation Graphs Graham Neubig · Yoav Goldberg · Chris Dyer |
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Poster
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Mon 18:30 |
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks Kyuhong Shim · Minjae Lee · Iksoo Choi · Yoonho Boo · Wonyong Sung |
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Poster
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Tue 18:30 |
Runtime Neural Pruning Ji Lin · Yongming Rao · Jiwen Lu · Jie Zhou |
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Workshop
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Sat 11:50 |
An Efficient Method to Impose Fairness in Linear Models Massimiliano Pontil · John Shawe-Taylor |