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199 Results
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Poster
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Tue 18:30 |
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum |
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Poster
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Mon 18:30 |
Subset Selection and Summarization in Sequential Data Ehsan Elhamifar · M. Clara De Paolis Kaluza |
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Poster
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Tue 18:30 |
Asynchronous Parallel Coordinate Minimization for MAP Inference Ofer Meshi · Alex Schwing |
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Poster
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Tue 18:30 |
Convolutional Phase Retrieval Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright |
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Poster
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Wed 18:30 |
Sharpness, Restart and Acceleration Vincent Roulet · Alexandre d'Aspremont |
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Poster
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Tue 18:30 |
Gradient Descent Can Take Exponential Time to Escape Saddle Points Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos |
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Poster
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Mon 18:30 |
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations Eirikur Agustsson · Fabian Mentzer · Michael Tschannen · Lukas Cavigelli · Radu Timofte · Luca Benini · Luc V Gool |
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Poster
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Mon 18:30 |
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization Aryan Mokhtari · Alejandro Ribeiro |
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Poster
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Wed 18:30 |
Self-Normalizing Neural Networks Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter |
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Poster
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Tue 18:30 |
Differentiable Learning of Submodular Functions Josip Djolonga · Andreas Krause |
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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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Tue 18:30 |
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization Tomoya Murata · Taiji Suzuki |