ICLR 2017

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iclr2016:accepted-main [2017/10/08 12:36]
rnogueira
iclr2016:accepted-main [2017/10/08 12:37] (current)
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   - [[http://​arxiv.org/​abs/​1510.03009|Neural Networks with Few Multiplications]]\\ Zhouhan Lin,  Matthieu Courbariaux, ​ Roland Memisevic, ​ Yoshua Bengio   - [[http://​arxiv.org/​abs/​1510.03009|Neural Networks with Few Multiplications]]\\ Zhouhan Lin,  Matthieu Courbariaux, ​ Roland Memisevic, ​ Yoshua Bengio
   - [[http://​arxiv.org/​abs/​1511.06361|Order-Embeddings of Images and Language]] [[https://​github.com/​ivendrov/​order-embedding|[code]]]\\ Ivan Vendrov, ​ Ryan Kiros, ​ Sanja Fidler, ​ Raquel Urtasun   - [[http://​arxiv.org/​abs/​1511.06361|Order-Embeddings of Images and Language]] [[https://​github.com/​ivendrov/​order-embedding|[code]]]\\ Ivan Vendrov, ​ Ryan Kiros, ​ Sanja Fidler, ​ Raquel Urtasun
 +  - [[http://​arxiv.org/​abs/​1511.02793|Generating Images from Captions with Attention]]\\ Elman Mansimov, ​ Emilio Parisotto, ​ Jimmy Ba,  Ruslan Salakhutdinov
 +  - [[http://​arxiv.org/​abs/​1511.06281|Density Modeling of Images using a Generalized Normalization Transformation]]\\ Johannes Ballé, ​ Valero Laparra, ​ Eero Simoncelli
  
  
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   - [[http://​arxiv.org/​abs/​1511.06068|Reducing Overfitting in Deep Networks by Decorrelating Representations]]\\ Michael Cogswell, ​ Faruk Ahmed, ​ Ross Girshick, ​ Larry Zitnick, ​ Dhruv Batra   - [[http://​arxiv.org/​abs/​1511.06068|Reducing Overfitting in Deep Networks by Decorrelating Representations]]\\ Michael Cogswell, ​ Faruk Ahmed, ​ Ross Girshick, ​ Larry Zitnick, ​ Dhruv Batra
   - [[http://​arxiv.org/​abs/​1511.07386|Pushing the Boundaries of Boundary Detection using Deep Learning]]\\ Iasonas Kokkinos   - [[http://​arxiv.org/​abs/​1511.07386|Pushing the Boundaries of Boundary Detection using Deep Learning]]\\ Iasonas Kokkinos
-  - [[http://​arxiv.org/​abs/​1511.02793|Generating Images from Captions with Attention]]\\ Elman Mansimov, ​ Emilio Parisotto, ​ Jimmy Ba,  Ruslan Salakhutdinov 
   - [[http://​arxiv.org/​abs/​1509.06664|Reasoning about Entailment with Neural Attention]]\\ Tim Rocktäschel, ​ Edward Grefenstette, ​ Karl Moritz Hermann, ​ Tomáš Kočiský, ​ Phil Blunsom   - [[http://​arxiv.org/​abs/​1509.06664|Reasoning about Entailment with Neural Attention]]\\ Tim Rocktäschel, ​ Edward Grefenstette, ​ Karl Moritz Hermann, ​ Tomáš Kočiský, ​ Phil Blunsom
   - [[http://​arxiv.org/​abs/​1511.06067|Convolutional Neural Networks With Low-rank Regularization]]\\ Cheng Tai,  Tong Xiao,  Yi Zhang, ​ Xiaogang Wang,  Weinan E   - [[http://​arxiv.org/​abs/​1511.06067|Convolutional Neural Networks With Low-rank Regularization]]\\ Cheng Tai,  Tong Xiao,  Yi Zhang, ​ Xiaogang Wang,  Weinan E
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   - [[http://​arxiv.org/​abs/​1511.08228|Neural GPUs Learn Algorithms]] [[https://​github.com/​tensorflow/​models/​tree/​master/​neural_gpu|[code]]] [[https://​www.youtube.com/​watch?​v=LzC8NkTZAF4|[video]]]\\ Lukasz Kaiser, ​ Ilya Sutskever   - [[http://​arxiv.org/​abs/​1511.08228|Neural GPUs Learn Algorithms]] [[https://​github.com/​tensorflow/​models/​tree/​master/​neural_gpu|[code]]] [[https://​www.youtube.com/​watch?​v=LzC8NkTZAF4|[video]]]\\ Lukasz Kaiser, ​ Ilya Sutskever
   - [[http://​arxiv.org/​abs/​1511.05946|ACDC:​ A Structured Efficient Linear Layer ]]\\ Marcin Moczulski, ​ Misha Denil, ​ Jeremy Appleyard, ​ Nando de Freitas   - [[http://​arxiv.org/​abs/​1511.05946|ACDC:​ A Structured Efficient Linear Layer ]]\\ Marcin Moczulski, ​ Misha Denil, ​ Jeremy Appleyard, ​ Nando de Freitas
-  - [[http://​arxiv.org/​abs/​1511.06281|Density Modeling of Images using a Generalized Normalization Transformation]]\\ Johannes Ballé, ​ Valero Laparra, ​ Eero Simoncelli 
   - [[http://​arxiv.org/​abs/​1511.05122|Adversarial Manipulation of Deep Representations]] [[https://​github.com/​fartashf/​under_convnet|[code]]]\\ Sara Sabour, ​ Yanshuai Cao,  Fartash Faghri, ​ David Fleet   - [[http://​arxiv.org/​abs/​1511.05122|Adversarial Manipulation of Deep Representations]] [[https://​github.com/​fartashf/​under_convnet|[code]]]\\ Sara Sabour, ​ Yanshuai Cao,  Fartash Faghri, ​ David Fleet
   - [[http://​arxiv.org/​abs/​1511.06394|Geodesics of learned representations]]\\ Olivier Hénaff, ​ Eero Simoncelli   - [[http://​arxiv.org/​abs/​1511.06394|Geodesics of learned representations]]\\ Olivier Hénaff, ​ Eero Simoncelli