Martin Thoma

(sciscore: 2.356)



http://orcid.org/0000-0002-6517-1690

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Early Stopping without a Validation Set
Maren Mahsereci and Lukas Balles and Christoph Lassner and Philipp Hennig
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.LG, stat.ML

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OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet and David Eigen and Xiang Zhang and Michael Mathieu and Rob Fergus and Yann LeCun
arXiv e-Print archive - 2013 via arXiv
Keywords: cs.CV

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Convolutional Neural Fabrics
Shreyas Saxena and Jakob Verbeek
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CV, cs.LG, cs.NE

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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer and Azalia Mirhoseini and Krzysztof Maziarz and Andy Davis and Quoc Le and Geoffrey Hinton and Jeff Dean
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.LG, cs.CL, cs.NE, stat.ML

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Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker and Otkrist Gupta and Nikhil Naik and Ramesh Raskar
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG

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Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen and Andrea Vedaldi
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CV, stat.ML

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The Mythos of Model Interpretability
Zachary C. Lipton
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG, cs.AI, cs.CV, cs.NE, stat.ML

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DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows
Jason Kuen and Xiangfei Kong and Gang Wang
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CV, cs.LG, cs.NE

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Neural Architecture Search with Reinforcement Learning
Barret Zoph and Quoc V. Le
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG, cs.AI, cs.NE

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Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Aravindh Mahendran and Andrea Vedaldi
arXiv e-Print archive - 2015 via arXiv
Keywords: cs.CV, 68T45

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Understanding deep learning requires rethinking generalization
Chiyuan Zhang and Samy Bengio and Moritz Hardt and Benjamin Recht and Oriol Vinyals
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG

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Language Modeling with Gated Convolutional Networks
Yann N. Dauphin and Angela Fan and Michael Auli and David Grangier
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CL

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Learning both Weights and Connections for Efficient Neural Networks
Song Han and Jeff Pool and John Tran and William J. Dally
arXiv e-Print archive - 2015 via arXiv
Keywords: cs.NE, cs.CV, cs.LG

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun
arXiv e-Print archive - 2014 via arXiv
Keywords: cs.CV

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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro and Sameer Singh and Carlos Guestrin
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Neural networks with differentiable structure
Thomas Miconi
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.NE

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Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg and Alexey Dosovitskiy and Thomas Brox and Martin Riedmiller
arXiv e-Print archive - 2014 via arXiv
Keywords: cs.LG, cs.CV, cs.NE

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Network In Network
Min Lin and Qiang Chen and Shuicheng Yan
arXiv e-Print archive - 2013 via arXiv
Keywords: cs.NE, cs.CV, cs.LG

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy
arXiv e-Print archive - 2015 via arXiv
Keywords: cs.LG

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An empirical analysis of dropout in piecewise linear networks
David Warde-Farley and Ian J. Goodfellow and Aaron Courville and Yoshua Bengio
arXiv e-Print archive - 2013 via arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Towards Dropout Training for Convolutional Neural Networks
Haibing Wu and Xiaodong Gu
arXiv e-Print archive - 2015 via arXiv
Keywords: cs.LG, cs.CV, cs.NE

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FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff and Dmitry Kalenichenko and James Philbin
arXiv e-Print archive - 2015 via arXiv
Keywords: cs.CV

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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton and Nitish Srivastava and Alex Krizhevsky and Ilya Sutskever and Ruslan R. Salakhutdinov
arXiv e-Print archive - 2012 via arXiv
Keywords: cs.NE, cs.CV, cs.LG

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Fully Convolutional Networks for Semantic Segmentation
Jonathan Long and Evan Shelhamer and Trevor Darrell
arXiv e-Print archive - 2014 via arXiv
Keywords: cs.CV

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