Dong-Hyun Lee
Dong-Hyun Lee
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
DH Lee
Workshop on challenges in representation learning, ICML 3 (2), 2013
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
International conference on neural information processing, 117-124, 2013
Towards biologically plausible deep learning
Y Bengio, DH Lee, J Bornschein, T Mesnard, Z Lin
arXiv preprint arXiv:1502.04156, 2015
Difference target propagation
DH Lee, S Zhang, A Fischer, Y Bengio
Joint european conference on machine learning and knowledge discovery in …, 2015
Multi-stage rocchio classification for large-scale multi-labeled text data
DH Lee
Proceedings of the 2012 ECML/PKDD Discovery Challenge Workshop on Large …, 2012
Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach
EL Mencıa, J Nam, DH Lee
Proc of Neural Information Processing Scaled for Bioacoustics, joint to NIPS …, 2013
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim
International Conference on Learning Representations 2019, 2018
Backprop-free autoencoders
DH Lee, Y Bengio
NIPS’2014 Deep Learning workshop, 2014
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–8