ICLR

E95182

ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.


Statements (48)
Predicate Object
instanceOf academic conference
machine learning conference
accepts oral presentations
poster presentations
spotlight presentations
acronym ICLR
coFounder Aaron Courville
Andrew Courville NERFINISHED
Rob Fergus NERFINISHED
Yann LeCun NERFINISHED
Yoshua Bengio NERFINISHED
field artificial intelligence
deep learning
machine learning
representation learning
focus deep neural networks
learning representations of data
optimization for deep learning
reinforcement learning
supervised learning
theoretical analysis of representation learning
unsupervised learning
frequency annual
fullName International Conference on Learning Representations
hasFormat main conference
oral sessions
poster sessions
tutorials
workshops
inceptionYear 2013
language English
ranking top-tier artificial intelligence conference
top-tier machine learning conference
reviewProcess double-blind peer review
scope applications of deep learning
evaluation of learned representations
foundation models and large-scale pretraining
graph and sequence representations
interpretability of deep models
probabilistic and generative models
robustness and generalization in deep learning
scalable training methods
self-supervised learning
theory and practice of representation learning
submissionType full research papers
reproducibility papers
workshop papers
typicalMonth April

Referenced by (6)
Subject (surface form when different) Predicate
Jimmy Ba ("International Conference on Learning Representations")
Oriol Vinyals
publicationVenue
ICLR
acronym
ICLR ("International Conference on Learning Representations")
fullName
Greg Yang
hasGivenTalkAt
Wojciech Zaremba
publishedIn

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