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Extending web applications with a lightweight zero knowledge proof...
Slawomir Grzonkowski, Wojciech Zaremba, Maciej Zaremba, Bill McDaniel: Extending web applications with a lightweight zero knowledge proof authentication. CSTST 2008: 65-70
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JaBEE: framework for object-oriented Java bytecode compilation and execution...
Wojciech Zaremba, Yuan Lin, Vinod Grover: JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. GPGPU@ASPLOS 2012: 74-83
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Modeling the variability of EEG/MEG data through statistical machine learning.
Wojciech Zaremba: Modeling the variability of EEG/MEG data through statistical machine learning. École Polytechnique, Palaiseau, France, 2012
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B-test: A Non-parametric, Low Variance Kernel Two-sample Test.
Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko: B-test: A Non-parametric, Low Variance Kernel Two-sample Test. CoRR abs/1307.1954 (2013)
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Taxonomic Prediction with Tree-Structured Covariances.
Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton: Taxonomic Prediction with Tree-Structured Covariances. ECML/PKDD (2) 2013: 304-319
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B-test: A Non-parametric, Low Variance Kernel Two-sample Test.
Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko: B-test: A Non-parametric, Low Variance Kernel Two-sample Test. NIPS 2013: 755-763
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Learning from M/EEG Data with Variable Brain Activation Delays.
Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew B. Blaschko: Learning from M/EEG Data with Variable Brain Activation Delays. IPMI 2013: 414-425
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Addressing the Rare Word Problem in Neural Machine Translation.
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba: Addressing the Rare Word Problem in Neural Machine Translation. CoRR abs/1410.8206 (2014)
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Learning to Execute.
Wojciech Zaremba, Ilya Sutskever: Learning to Execute. CoRR abs/1410.4615 (2014)
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Recurrent Neural Network Regularization.
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals: Recurrent Neural Network Regularization. CoRR abs/1409.2329 (2014)
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Learning to Discover Efficient Mathematical Identities.
Wojciech Zaremba, Karol Kurach, Rob Fergus: Learning to Discover Efficient Mathematical Identities. CoRR abs/1406.1584 (2014)
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Exploiting Linear Structure Within Convolutional Networks for Efficient...
Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR abs/1404.0736 (2014)
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Intriguing properties of neural networks.
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR (Poster) 2014
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Spectral Networks and Locally Connected Networks on Graphs.
Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun: Spectral Networks and Locally Connected Networks on Graphs. ICLR 2014
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Learning to Discover Efficient Mathematical Identities.
Wojciech Zaremba, Karol Kurach, Rob Fergus: Learning to Discover Efficient Mathematical Identities. NIPS 2014: 1278-1286
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Exploiting Linear Structure Within Convolutional Networks for Efficient...
Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS 2014: 1269-1277
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Learning Simple Algorithms from Examples.
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus: Learning Simple Algorithms from Examples. CoRR abs/1511.07275 (2015)
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Scale-invariant learning and convolutional networks.
Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba: Scale-invariant learning and convolutional networks. CoRR abs/1506.08230 (2015)
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Reinforcement Learning Neural Turing Machines.
Wojciech Zaremba, Ilya Sutskever: Reinforcement Learning Neural Turing Machines. CoRR abs/1505.00521 (2015)
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An Empirical Exploration of Recurrent Network Architectures.
Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever: An Empirical Exploration of Recurrent Network Architectures. ICML 2015: 2342-2350
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