ICLR
E95182
ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ICLR canonical | 11 |
| International Conference on Learning Representations | 4 |
| International Conference on Learning Representations 2016 | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
machine learning conference ⓘ |
| accepts |
oral presentations
ⓘ
poster presentations ⓘ spotlight presentations ⓘ |
| acronym | ICLR self-link ⓘ |
| coFounder |
Aaron Courville
ⓘ
Aaron Courville ⓘ
surface form:
Andrew Courville
Rob Fergus ⓘ Yann LeCun ⓘ Yoshua Bengio ⓘ |
| 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 |
ICLR
self-linksurface differs
ⓘ
surface form:
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 (16)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
International Conference on Learning Representations
this entity surface form:
International Conference on Learning Representations
this entity surface form:
International Conference on Learning Representations 2016
this entity surface form:
International Conference on Learning Representations
this entity surface form:
International Conference on Learning Representations