About us

The ICLR 2021 conference

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.

IMPORTANT COMMUNICATION

Like the main conference (https://iclr.cc/), the NAS workshop will also be a mix of pre-recorded talks, asynchronous engagement, and live engagement through Q&A.

Previous related workshops

The 1st NAS workshop @ ICLR 2020 received 19 submissions, out of which 16 were accepted. You can find the webpage of the 1st NAS workshop here.

Several previous workshops, such as the AutoML workshop series at ICML 2014-2020, which have consistently drawn about 200-300 participants (up to 1000 in 2019), and the Meta-Learning workshop series at Neur with about 500-600 attendees, have had a healthy overlap in attendance with the NAS community. This overlap has been growing especially over the last few years, as NAS became a crucial component for representation learning in many AutoML systems. The AutoML 2019 and Meta-Learning 2019 workshops attracted 50 and 84 submissions respectively, some of which leveraged NAS.

Contact

If you have further questions, please do not hesitate to contact us (Primary contact: zelaa@cs.uni-freiburg.de).