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|Title=Eighth International Conference on Learning Representations | |Title=Eighth International Conference on Learning Representations | ||
|Type=Conference | |Type=Conference | ||
| − | | | + | |Official Website=https://iclr.cc/Conferences/2020/ |
| − | |||
|Twitter account=@ICLR_conf_ | |Twitter account=@ICLR_conf_ | ||
|City=Addis Ababa | |City=Addis Ababa | ||
| − | |Country= | + | |Country=Country:ET |
| − | | | + | |Submission Link=https://openreview.net/group?id=ICLR.cc/2020/Conference |
| − | |||
|has general chair=Alexander Rush, Shakir Mohamed | |has general chair=Alexander Rush, Shakir Mohamed | ||
|has program chair=Dawn Song, Kyunghyun Cho, Martha White | |has program chair=Dawn Song, Kyunghyun Cho, Martha White | ||
|has workshop chair=Gabriel Synnaeve, Asja Fischer | |has workshop chair=Gabriel Synnaeve, Asja Fischer | ||
|Has PC member=Abhishek Kumar, Adam White, Aleksander Madry, Alexandra Birch | |Has PC member=Abhishek Kumar, Adam White, Aleksander Madry, Alexandra Birch | ||
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| − | |||
|pageCreator=User:Curator 73 | |pageCreator=User:Curator 73 | ||
|pageEditor=User:Curator 19 | |pageEditor=User:Curator 19 | ||
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|End Date=2020/04/30 | |End Date=2020/04/30 | ||
|Academic Field=Machine Learning;Deep Learning;Learning | |Academic Field=Machine Learning;Deep Learning;Learning | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
| + | {{Event Deadline | ||
| + | |Notification Deadline=2019/12/19 | ||
| + | |Submission Deadline=2019/09/25 | ||
| + | }} | ||
| + | {{Event Metric | ||
| + | |Number Of Submitted Papers=2594 | ||
| + | |Number Of Accepted Papers=687 | ||
| + | }} | ||
| + | {{S Event}} | ||
'''Virtual Conference''' Formerly Addis Ababa ETHIOPIA | '''Virtual Conference''' Formerly Addis Ababa ETHIOPIA | ||
Latest revision as of 14:05, 19 October 2022
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Addis Ababa, Ethiopia
Virtual Conference Formerly Addis Ababa ETHIOPIA
The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.
Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
TOPICS
A non-exhaustive list of relevant topics explored at the conference include:
* unsupervised, semi-supervised, and supervised representation learning * representation learning for planning and reinforcement learning * metric learning and kernel learning * sparse coding and dimensionality expansion * hierarchical models * optimization for representation learning * learning representations of outputs or states * implementation issues, parallelization, software platforms, hardware * applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field
