ICLR 2017

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iclr2017:conference_posters [2017/04/18 07:13]
rnogueira
iclr2017:conference_posters [2017/04/23 09:26] (current)
hugo
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 C11: Pruning Filters for Efficient ConvNets\\ C11: Pruning Filters for Efficient ConvNets\\
 C12: Stick-Breaking Variational Autoencoders\\ C12: Stick-Breaking Variational Autoencoders\\
-C13: Understanding deep learning requires rethinking generalization\\+C13: Identity Matters in Deep Learning\\
 C14: On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima\\ C14: On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima\\
 C15: Recurrent Hidden Semi-Markov Model\\ C15: Recurrent Hidden Semi-Markov Model\\
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 <​html><​div id='​tuesday_afternoon'></​div></​html>​ <​html><​div id='​tuesday_afternoon'></​div></​html>​
-====Tuesday Afternoon (April 25th, 2:30pm to 4:30pm)====+====Tuesday Afternoon (April 25th, 2:00pm to 4:00pm)====
 C1: Sigma Delta Quantized Networks\\ C1: Sigma Delta Quantized Networks\\
 C2: Paleo: A Performance Model for Deep Neural Networks\\ C2: Paleo: A Performance Model for Deep Neural Networks\\
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 C21: Temporal Ensembling for Semi-Supervised Learning\\ C21: Temporal Ensembling for Semi-Supervised Learning\\
 C22: On Detecting Adversarial Perturbations\\ C22: On Detecting Adversarial Perturbations\\
-C23: Identity Matters in Deep Learning\\+C23: Understanding deep learning requires rethinking generalization\\
 C24: Adversarial Feature Learning\\ C24: Adversarial Feature Learning\\
 C25: Learning through Dialogue Interactions\\ C25: Learning through Dialogue Interactions\\