ICLR 2017

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iclr2017:schedule [2017/04/25 09:04]
rnogueira
iclr2017:schedule [2017/05/16 09:24] (current)
hugo
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 7.00 - 8.45 Registration 7.00 - 8.45 Registration
  
-8.45 - 9.00 Opening Remarks+8.45 - 9.00 Opening Remarks ​[{{:​iclr2017:​ranzato_introduction_iclr2017.pdf|slides}}]
  
-9.00 - 9.40 Invited talk 1: [[http://​www.cns.nyu.edu/​~eero/​|Eero Simoncelli]]+9.00 - 9.40 Invited talk 1: [[http://​www.cns.nyu.edu/​~eero/​|Eero Simoncelli]] [{{:​iclr2017:​simoncelli_iclr2017.pdf|slides}}]
  
-9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=rJxdQ3jeg&​noteId=rJxdQ3jeg|End-to-end Optimized Image Compression]]+9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=rJxdQ3jeg&​noteId=rJxdQ3jeg|End-to-end Optimized Image Compression]] [{{:​iclr2017:​balle_iclr2017.pdf|slides}}]
  
-10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=S1RP6GLle&​noteId=S1RP6GLle|Amortised MAP Inference for Image Super-resolution]]+10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=S1RP6GLle&​noteId=S1RP6GLle|Amortised MAP Inference for Image Super-resolution]] [{{:​iclr2017:​sonderby_iclr2017.pdf|slides}}]
  
 10.20 - 10.30 //Coffee Break// 10.20 - 10.30 //Coffee Break//
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 <​html><​br/><​font size="​5">​Afternoon Session</​font><​font size="​3">​ – Session Chair: Joan Bruna (sponsored by Baidu)</​font></​html>​ <​html><​br/><​font size="​5">​Afternoon Session</​font><​font size="​3">​ – Session Chair: Joan Bruna (sponsored by Baidu)</​font></​html>​
  
-14.30 - 15.10 Invited talk 2:  [[https://​people.eecs.berkeley.edu/​~brecht/​|Benjamin Recht]]+14.30 - 15.10 Invited talk 2:  [[https://​people.eecs.berkeley.edu/​~brecht/​|Benjamin Recht]] [{{:​iclr2017:​recht_iclr2017.pdf|slides}}]
  
-15.10 - 15.30 Contributed Talk 3: [[https://​openreview.net/​forum?​id=Sy8gdB9xx&​noteId=Sy8gdB9xx|Understanding deep learning requires rethinking generalization]] - BEST PAPER AWARD+15.10 - 15.30 Contributed Talk 3: [[https://​openreview.net/​forum?​id=Sy8gdB9xx&​noteId=Sy8gdB9xx|Understanding deep learning requires rethinking generalization]] [{{:​iclr2017:​czhang_iclr2017.pdf|slides}}] - BEST PAPER AWARD
  
-15.30 - 15.50 Contributed Talk 4: [[https://​openreview.net/​forum?​id=H1oyRlYgg&​noteId=H1oyRlYgg|Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima]]+15.30 - 15.50 Contributed Talk 4: [[https://​openreview.net/​forum?​id=H1oyRlYgg&​noteId=H1oyRlYgg|Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima]] [{{:​iclr2017:​nocedal_iclr2017.pdf|slides}}]
  
-15.50 - 16.10 Contributed Talk 5: [[https://​openreview.net/​forum?​id=Hk4_qw5xe&​noteId=Hk4_qw5xe|Towards Principled Methods for Training Generative Adversarial Networks]]+15.50 - 16.10 Contributed Talk 5: [[https://​openreview.net/​forum?​id=Hk4_qw5xe&​noteId=Hk4_qw5xe|Towards Principled Methods for Training Generative Adversarial Networks]] [{{:​iclr2017:​arjovsky_iclr2017.pdf|slides}}]
  
 16.10 - 16.30 //Coffee Break// 16.10 - 16.30 //Coffee Break//
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 7.30 – 9.00 Registration 7.30 – 9.00 Registration
  
-9.00 - 9.40 Invited talk 1: [[http://​cazencott.info|Chloé-Agathe Azencott]]+9.00 - 9.40 Invited talk 1: [[http://​cazencott.info|Chloé-Agathe Azencott]] [{{:​iclr2017:​azencott_iclr2017.pdf|slides}}]
  
-9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=HkwoSDPgg&​noteId=HkwoSDPgg|Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data]] - BEST PAPER AWARD+9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=HkwoSDPgg&​noteId=HkwoSDPgg|Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data]] [{{:​iclr2017:​paperno_iclr2017.pdf|slides}}] - BEST PAPER AWARD
  
-10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=HJ0NvFzxl&​noteId=HJ0NvFzxl|Learning Graphical State Transitions]]+10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=HJ0NvFzxl&​noteId=HJ0NvFzxl|Learning Graphical State Transitions]] [{{:​iclr2017:​johnson2017graphical_final.pdf|slides}}]
  
 10.20 - 10.30 //Coffee Break// 10.20 - 10.30 //Coffee Break//
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 16.00 - 16.15 //Coffee Break// 16.00 - 16.15 //Coffee Break//
  
-16.15 - 17.00 Invited talk 2: [[http://​staff.polito.it/​riccardo.zecchina/​|Riccardo Zecchina]]+16.15 - 17.00 Invited talk 2: [[http://​staff.polito.it/​riccardo.zecchina/​|Riccardo Zecchina]] [{{:​iclr2017:​zecchina_iclr2017.pdf|slides}}]
  
-17.00 - 17.20 Contributed Talk 3: [[https://​openreview.net/​forum?​id=rJLS7qKel&​noteId=rJLS7qKel|Learning to Act by Predicting the Future]]+17.00 - 17.20 Contributed Talk 3: [[https://​openreview.net/​forum?​id=rJLS7qKel&​noteId=rJLS7qKel|Learning to Act by Predicting the Future]] [{{:​iclr2017:​Dosovitskiy_Koltun_Learning_to_Act_ICLR_2017.pdf|slides}}]
  
-17.20 - 17.40 Contributed Talk 4: [[https://​openreview.net/​forum?​id=SJ6yPD5xg&​noteId=SJ6yPD5xg|Reinforcement Learning with Unsupervised Auxiliary Tasks]]+17.20 - 17.40 Contributed Talk 4: [[https://​openreview.net/​forum?​id=SJ6yPD5xg&​noteId=SJ6yPD5xg|Reinforcement Learning with Unsupervised Auxiliary Tasks]] [{{:​iclr2017:​jaderberg_iclr2017.pdf|slides}}]
  
-17.40 - 18.00 Contributed Talk 5: [[https://​openreview.net/​forum?​id=SJ3rcZcxl&​noteId=SJ3rcZcxl|Q-Prop:​ Sample-Efficient Policy Gradient with An Off-Policy Critic]]+17.40 - 18.00 Contributed Talk 5: [[https://​openreview.net/​forum?​id=SJ3rcZcxl&​noteId=SJ3rcZcxl|Q-Prop:​ Sample-Efficient Policy Gradient with An Off-Policy Critic]] [{{:​iclr2017:​sgu_iclr2017.pdf|slides}}]
  
 18.00 - 18.30 Group photo at the RCT Stadium 18.00 - 18.30 Group photo at the RCT Stadium
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 We'll use the "​secret"​ door from Neptune congress to get directly into the stadium. We'll use the "​secret"​ door from Neptune congress to get directly into the stadium.
  
-You'll be instructed to arrange in a 14 ranks x 80 people configuration,​ as illustrated ​here: http://​sis.univ-tln.fr/​~glotin/​ICLR_Great_Photo.png .+You'll be instructed to arrange in a 14 ranks x 80 people configuration,​ as illustrated ​[[http://​sis.univ-tln.fr/​~glotin/​slides_photo.pdf|here]].
  
 At 18:00, we'll move from the talk session to the reception and then we'll get through the secret door to  At 18:00, we'll move from the talk session to the reception and then we'll get through the secret door to 
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 7.30 – 9.00 Registration 7.30 – 9.00 Registration
  
-9.00 - 9.40 Invited talk 1: [[https://​people.csail.mit.edu/​regina/​|Regina Barzilay]]+9.00 - 9.40 Invited talk 1: [[https://​people.csail.mit.edu/​regina/​|Regina Barzilay]] [{{:​iclr2017:​barzilay_iclr2017.pdf|slides}}]
  
-9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=S1Bb3D5gg&​noteId=S1Bb3D5gg|Learning End-to-End Goal-Oriented Dialog]]+9.40 - 10.00  Contributed talk 1: [[https://​openreview.net/​forum?​id=S1Bb3D5gg&​noteId=S1Bb3D5gg|Learning End-to-End Goal-Oriented Dialog]] [{{:​iclr2017:​ylan_iclr2017.pdf|slides}}]
  
-10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=Hk8N3Sclg&​noteId=Hk8N3Sclg|Multi-Agent Cooperation and the Emergence of (Natural) Language]]+10.00 - 10.20 Contributed talk 2: [[https://​openreview.net/​forum?​id=Hk8N3Sclg&​noteId=Hk8N3Sclg|Multi-Agent Cooperation and the Emergence of (Natural) Language]] [{{:​iclr2017:​peysakhovich_iclr2017.pdf|slides}}]
  
 10.20 - 10.30 //Coffee Break// 10.20 - 10.30 //Coffee Break//
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 <​html><​br/><​font size="​5">​Afternoon Session</​font><​font size="​3">​ – Session Chair: Navdeep Jaitly</​font></​html>​ <​html><​br/><​font size="​5">​Afternoon Session</​font><​font size="​3">​ – Session Chair: Navdeep Jaitly</​font></​html>​
  
-14.30 - 15.10 Invited talk 2: Alex Graves+14.30 - 15.10 Invited talk 2: Alex Graves ​ ​[{{:​iclr2017:​graves_iclr2017.pdf|slides}}]
  
-15.10 - 15.30 Contributed Talk 3: [[https://​openreview.net/​forum?​id=BkbY4psgg&​noteId=BkbY4psgg|Making Neural Programming Architectures Generalize via Recursion]] - BEST PAPER AWARD+15.10 - 15.30 Contributed Talk 3: [[https://​openreview.net/​forum?​id=BkbY4psgg&​noteId=BkbY4psgg|Making Neural Programming Architectures Generalize via Recursion]] [{{:​iclr2017:​cai_iclr2017.pdf|slides}}] - BEST PAPER AWARD
  
-15.30 - 15.50 Contributed Talk 4: [[https://​openreview.net/​forum?​id=r1Ue8Hcxg&​noteId=r1Ue8Hcxg|Neural Architecture Search with Reinforcement Learning]]+15.30 - 15.50 Contributed Talk 4: [[https://​openreview.net/​forum?​id=r1Ue8Hcxg&​noteId=r1Ue8Hcxg|Neural Architecture Search with Reinforcement Learning]] [{{:​iclr2017:​zoph_iclr2017.pdf|slides}}]
  
-15.50 - 16.10 Contributed Talk 5: [[https://​openreview.net/​forum?​id=rJY0-Kcll&​noteId=rJY0-Kcll|Optimization as a Model for Few-Shot Learning]]+15.50 - 16.10 Contributed Talk 5: [[https://​openreview.net/​forum?​id=rJY0-Kcll&​noteId=rJY0-Kcll|Optimization as a Model for Few-Shot Learning]] [{{:​iclr2017:​sachinravi_iclr2017.pdf|slides}}]
  
 16.10 - 16.30 //Coffee Break// 16.10 - 16.30 //Coffee Break//