arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics.

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Deep Extreme Cut: From Extreme Points to Object Segmentation
Kevis-Kokitsi Maninis and Sergi Caelles and Jordi Pont-Tuset and Luc Van Gool
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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Summary by Oleksandr Bailo 1 month ago
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Learning with Opponent-Learning Awareness
Jakob N. Foerster and Richard Y. Chen and Maruan Al-Shedivat and Shimon Whiteson and Pieter Abbeel and Igor Mordatch
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.AI, cs.GT

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Summary by CodyWild 2 months ago
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Learning by Asking Questions
Ishan Misra and Ross Girshick and Rob Fergus and Martial Hebert and Abhinav Gupta and Laurens van der Maaten
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.CL, cs.LG

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Summary by Oleksandr Bailo 2 months ago
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Embodied Question Answering
Abhishek Das and Samyak Datta and Georgia Gkioxari and Stefan Lee and Devi Parikh and Dhruv Batra
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.AI, cs.CL, cs.LG

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Summary by Oleksandr Bailo 2 months ago
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Adversarial Attacks on Neural Network Policies
Sandy Huang and Nicolas Papernot and Ian Goodfellow and Yan Duan and Pieter Abbeel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 2 months ago
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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio and Fabio Roli
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.CR, cs.GT, cs.LG

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Summary by David Stutz 2 months ago
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Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan and Pan He and Qile Zhu and Rajendra Rana Bhat and Xiaolin Li
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV, stat.ML

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Summary by David Stutz 2 months ago
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Deep Image Prior
Dmitry Ulyanov and Andrea Vedaldi and Victor Lempitsky
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, stat.ML

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Summary by David Stutz 2 months ago
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Detecting Adversarial Samples from Artifacts
Reuben Feinman and Ryan R. Curtin and Saurabh Shintre and Andrew B. Gardner
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 2 months ago
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Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini and David Wagner
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 2 months ago
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On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse and Praveen Manoharan and Nicolas Papernot and Michael Backes and Patrick McDaniel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CR, cs.LG, stat.ML

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Summary by David Stutz 2 months ago
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Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross and Finale Doshi-Velez
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 2 months ago
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Biologically inspired protection of deep networks from adversarial attacks
Aran Nayebi and Surya Ganguli
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, q-bio.NC

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Summary by David Stutz 2 months ago
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Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu and David Evans and Yanjun Qi
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.CR, cs.LG

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Summary by David Stutz 2 months ago
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Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha and Hongseok Namkoong and John Duchi
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 2 months ago
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Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi and Maria-Irina Nicolae and Ambrish Rawat
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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Summary by David Stutz 2 months ago
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Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu and Minhao Cheng and Huan Zhang and Cho-Jui Hsieh
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 2 months ago
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Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh and Max Augustin and Bernt Schiele and Mario Fritz
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.CV, cs.LG

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Summary by David Stutz 2 months ago
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Comment on "Biologically inspired protection of deep networks from adversarial attacks"
Wieland Brendel and Matthias Bethge
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, q-bio.NC

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Summary by David Stutz 2 months ago
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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen and Huan Zhang and Yash Sharma and Jinfeng Yi and Cho-Jui Hsieh
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG

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Summary by David Stutz 2 months ago
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Adversarial Robustness: Softmax versus Openmax
Andras Rozsa and Manuel Günther and Terrance E. Boult
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 2 months ago
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A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
Logan Engstrom and Brandon Tran and Dimitris Tsipras and Ludwig Schmidt and Aleksander Madry
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CV, cs.NE, stat.ML

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Summary by David Stutz 2 months ago
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NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu and Hussein Sibai and Evan Fabry and David Forsyth
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.AI, cs.CR

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Summary by David Stutz 2 months ago
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Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry and Aleksandar Makelov and Ludwig Schmidt and Dimitris Tsipras and Adrian Vladu
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Summary by David Stutz 2 months ago
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Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr and Alexey Kurakin and Nicolas Papernot and Ian Goodfellow and Dan Boneh and Patrick McDaniel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG

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Summary by David Stutz 2 months ago
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Prototypical Networks for Few-shot Learning
Jake Snell and Kevin Swersky and Richard S. Zemel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 2 months ago
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Word Translation Without Parallel Data
Alexis Conneau and Guillaume Lample and Marc'Aurelio Ranzato and Ludovic Denoyer and Hervé Jégou
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL

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Summary by CodyWild 2 months ago
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Inverse Reward Design
Dylan Hadfield-Menell and Smitha Milli and Pieter Abbeel and Stuart Russell and Anca Dragan
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.AI, cs.LG

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Summary by CodyWild 2 months ago
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Translating Neuralese
Jacob Andreas and Anca Dragan and Dan Klein
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.NE

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Summary by CodyWild 2 months ago
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Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat and Trapit Bansal and Yuri Burda and Ilya Sutskever and Igor Mordatch and Pieter Abbeel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by CodyWild 2 months ago
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Learned in Translation: Contextualized Word Vectors
Bryan McCann and James Bradbury and Caiming Xiong and Richard Socher
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.AI, cs.LG

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Summary by CodyWild 2 months ago
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Neural Discrete Representation Learning
Aaron van den Oord and Oriol Vinyals and Koray Kavukcuoglu
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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Summary by CodyWild 2 months ago
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The Trimmed Lasso: Sparsity and Robustness
Dimitris Bertsimas and Martin S. Copenhaver and Rahul Mazumder
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ME, math.OC, math.ST, stat.CO, stat.ML, stat.TH

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Summary by Anonymous 2 months ago
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Focal Loss for Dense Object Detection
Tsung-Yi Lin and Priya Goyal and Ross Girshick and Kaiming He and Piotr Dollár
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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Summary by RyanDsouza 3 months ago
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Active One-shot Learning
Mark Woodward and Chelsea Finn
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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Summary by Florian Windolf 3 months ago
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Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg and José Miguel Hernández-Lobato and Finale Doshi-Velez and Steffen Udluft
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by luyuchen 3 months ago
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Enhanced Experience Replay Generation for Efficient Reinforcement Learning
Vincent Huang and Tobias Ley and Martha Vlachou-Konchylaki and Wenfeng Hu
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.AI

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Summary by Tianxiao Zhao 4 months ago
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Summary by Ofir Press 5 months ago
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Summary by Ofir Press 5 months ago
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Hungarian Layer: Logics Empowered Neural Architecture
Han Xiao
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL

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Summary by arjoonn 6 months ago
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Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang and Naveen Suda and Liangzhen Lai and Vikas Chandra
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.SD, cs.CL, cs.LG, cs.NE, eess.AS

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Summary by daisukelab 6 months ago
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Summary by luyuchen 6 months ago
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mixup: Beyond Empirical Risk Minimization
Hongyi Zhang and Moustapha Cisse and Yann N. Dauphin and David Lopez-Paz
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by daisukelab 6 months ago
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Summary by Kirill Pevzner 7 months ago
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Summary by Kirill Pevzner 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Emergent Translation in Multi-Agent Communication
Jason Lee and Kyunghyun Cho and Jason Weston and Douwe Kiela
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.AI

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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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On the State of the Art of Evaluation in Neural Language Models
Gábor Melis and Chris Dyer and Phil Blunsom
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL

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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis and Mirella Lapata
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.IR, cs.LG

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Summary by Marek Rei 7 months ago
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Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample and Ludovic Denoyer and Marc'Aurelio Ranzato
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.AI

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Summary by Marek Rei 7 months ago
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Dynamic Evaluation of Neural Sequence Models
Ben Krause and Emmanuel Kahembwe and Iain Murray and Steve Renals
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.NE, cs.CL

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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by Marek Rei 7 months ago
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Summary by isarandi 7 months ago
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Summary by Min Lin 8 months ago
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Summary by Peter O'Connor 8 months ago
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Summary by Sina Honari 8 months ago
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Self-Normalizing Neural Networks
Günter Klambauer and Thomas Unterthiner and Andreas Mayr and Sepp Hochreiter
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Léo Paillier 8 months ago
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Summary by Léo Paillier 8 months ago
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Summary by Léo Paillier 8 months ago
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Summary by Léo Paillier 8 months ago
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Summary by Léo Paillier 8 months ago
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Summary by Léo Paillier 8 months ago