Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Meta-Learning for Semi-Supervised Few-Shot Classification.

M. Ren, E. Triantafillou, S. Ravi, J. Snell, K. Swersky, J. Tenenbaum, H. Larochelle, and R. Zemel. ICLR (Poster), OpenReview.net, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nancy Larochelle

Hugo

Klaus Hugo

Tina Hugo

Other publications of authors with the same name

Traffic Analytics With Low-Frame-Rate Videos.Z. Luo, P. Jodoin, S. Su, S. Li, and H. Larochelle. IEEE Trans. Circuits Syst. Video Techn., 28 (4): 878-891 (2018)DIBS: Diversity inducing Information Bottleneck in Model Ensembles.S. Sinha, H. Bharadhwaj, A. Goyal, H. Larochelle, A. Garg, and F. Shkurti. CoRR, (2020)Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.E. Triantafillou, T. Zhu, V. Dumoulin, P. Lamblin, U. Evci, K. Xu, R. Goroshin, C. Gelada, K. Swersky, P. Manzagol and 1 other author(s). ICLR, OpenReview.net, (2020)Disentangling the independently controllable factors of variation by interacting with the world.V. Thomas, E. Bengio, W. Fedus, J. Pondard, P. Beaudoin, H. Larochelle, J. Pineau, D. Precup, and Y. Bengio. CoRR, (2018)Multiscale sequence modeling with a learned dictionary.B. van Merriënboer, A. Sanyal, H. Larochelle, and Y. Bengio. CoRR, (2017)Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition.F. Bisson, H. Larochelle, and F. Kabanza. IJCAI, page 918-924. AAAI Press, (2015)A RAD approach to deep mixture models.L. Dinh, J. Sohl-Dickstein, R. Pascanu, and H. Larochelle. DGS@ICLR, OpenReview.net, (2019)Recall Traces: Backtracking Models for Efficient Reinforcement Learning.A. Goyal, P. Brakel, W. Fedus, S. Singhal, T. Lillicrap, S. Levine, H. Larochelle, and Y. Bengio. ICLR (Poster), OpenReview.net, (2019)Domain-Adversarial Training of Neural Networks.Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky. J. Mach. Learn. Res., (2016)Hyperbolic Discounting and Learning over Multiple HorizonsW. Fedus, C. Gelada, Y. Bengio, M. Bellemare, and H. Larochelle. (2019)cite arxiv:1902.06865.

BibSonomy

Disambiguation of "Larochelle, Hugo"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Meta-Learning for Semi-Supervised Few-Shot Classification.

Please choose a person to relate this publication to

Nancy Larochelle

Hugo

Hugo

Klaus Hugo

Tina Hugo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Larochelle, Hugo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Meta-Learning for Semi-Supervised Few-Shot Classification.

Please choose a person to relate this publication to

Nancy Larochelle

Hugo

Hugo

Klaus Hugo

Tina Hugo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Meta-Learning for Semi-Supervised Few-Shot Classification.