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ORCIDGabriel Huang
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2020 – today
- 2023
[j2]Gabriel Huang
, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4071-4089 (2023)- [c5]Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu:
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS 2023 - [i8]Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu:
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR abs/2306.03831 (2023) - 2021
- [c4]Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien:
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. ICLR 2021 - [i7]Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien:
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. CoRR abs/2103.09027 (2021) - [i6]Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR abs/2110.14711 (2021) - 2020
- [c3]Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut:
Multimodal Pretraining for Dense Video Captioning. AACL/IJCNLP 2020: 470-490 - [i5]Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut:
Multimodal Pretraining for Dense Video Captioning. CoRR abs/2011.11760 (2020)
2010 – 2019
- 2019
- [j1]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2208-2221 (2019) - [c2]Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas:
Negative Momentum for Improved Game Dynamics. AISTATS 2019: 1802-1811 - [i4]Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien:
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification. CoRR abs/1902.08605 (2019) - 2018
- [c1]Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien:
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) 2018 - [i3]Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien, Ioannis Mitliagkas:
Negative Momentum for Improved Game Dynamics. CoRR abs/1807.04740 (2018) - [i2]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. CoRR abs/1809.06367 (2018) - 2017
- [i1]Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien:
Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR abs/1708.02511 (2017)
Coauthor Index
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