Difference between revisions of "ICLR 2020"
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|Start date=2020/04/26 | |Start date=2020/04/26 | ||
|End date=2020/04/30 | |End date=2020/04/30 | ||
| + | |Submission deadline=2019/09/25 | ||
|Homepage=https://iclr.cc/Conferences/2020/ | |Homepage=https://iclr.cc/Conferences/2020/ | ||
|Twitter account=@ICLR_conf_ | |Twitter account=@ICLR_conf_ | ||
|City=Addis Ababa | |City=Addis Ababa | ||
|Country=Ethiopia | |Country=Ethiopia | ||
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|Notification=2019/12/19 | |Notification=2019/12/19 | ||
|Submitting link=https://openreview.net/group?id=ICLR.cc/2020/Conference | |Submitting link=https://openreview.net/group?id=ICLR.cc/2020/Conference | ||
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|Accepted papers=687 | |Accepted papers=687 | ||
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| − | '' | + | '''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 | ||
Latest revision as of 10:47, 12 May 2020
| ICLR 2020 | |
|---|---|
Eighth International Conference on Learning Representations
| |
| Event in series | ICLR |
| Dates | 2020/04/26 (iCal) - 2020/04/30 |
| Homepage: | https://iclr.cc/Conferences/2020/ |
| Twitter account: | @ICLR_conf_ |
| Submitting link: | https://openreview.net/group?id=ICLR.cc/2020/Conference |
| Location | |
| Location: | Addis Ababa, Ethiopia |
Loading map... | |
| Important dates | |
| Submissions: | 2019/09/25 |
| Notification: | 2019/12/19 |
| Papers: | Submitted 2594 / Accepted 687 (26.5 %) |
| Committees | |
| General chairs: | Alexander Rush, Shakir Mohamed |
| PC chairs: | Dawn Song, Kyunghyun Cho, Martha White |
| Workshop chairs: | Gabriel Synnaeve, Asja Fischer |
| PC members: | Abhishek Kumar, Adam White, Aleksander Madry, Alexandra Birch |
| Table of Contents | |
Contents | |
| Tweets by @ICLR_conf_ | |
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
Facts about "ICLR 2020"
| Acceptance rate | 26.5 + |
| Accepted papers | 687 + |
| Acronym | ICLR 2020 + |
| End date | April 30, 2020 + |
| Event in series | ICLR + |
| Event type | Conference + |
| Has PC member | Abhishek Kumar +, Adam White +, Aleksander Madry + and Alexandra Birch + |
| Has Submitting link | https://openreview.net/group?id=ICLR.cc/2020/Conference + |
| Has coordinates | 9° 2' 9", 38° 45' 9"Latitude: 9.0358277777778 Longitude: 38.752413888889 + |
| Has general chair | Alexander Rush + and Shakir Mohamed + |
| Has location city | Addis Ababa + |
| Has location country | Category:Ethiopia + |
| Has program chair | Dawn Song +, Kyunghyun Cho + and Martha White + |
| Has twitter | @ICLR_conf_ + |
| Has workshop chair | Gabriel Synnaeve + and Asja Fischer + |
| Homepage | https://iclr.cc/Conferences/2020/ + |
| IsA | Event + |
| Notification | December 19, 2019 + |
| Start date | April 26, 2020 + |
| Submission deadline | September 25, 2019 + |
| Submitted papers | 2,594 + |
| Title | Eighth International Conference on Learning Representations + |
