Gelly, Sylvain
Google (United States)
10 papers on CoChat
Most cited papers
- Verified
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al. (2020) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 47,472
- Verified
Parameter-efficient transfer learning for NLP
Houlsby, N., Giurgiu, A., Jastrzebski, S., Morrone, B., de Laroussilhe, Q., Gesmundo, A., Attariyan, M., & Gelly, S. (2019) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 2,270
- Verified
Big Transfer (BiT): General Visual Representation Learning
Kolesnikov, A., Beyer, L., Zhai, X., Puigcerver, J., Yung, J., Gelly, S., & Houlsby, N. (2019) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,039
- Verified
Big Transfer (BiT): General Visual Representation Learning
Kolesnikov, A., Beyer, L., Zhai, X., Puigcerver, J., Yung, J., Gelly, S., & Houlsby, N. (2020) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,039
- Verified
Towards Accurate Generative Models of Video: A New Metric & Challenges
Unterthiner, T., van Steenkiste, S., Kurach, K., Marinier, R., Michalski, M., & Gelly, S. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisArtificial Intelligence in Games
Cited by 204
- Verified
High-Fidelity Image Generation With Fewer Labels
Lucic, M., Tschannen, M., Ritter, M., Zhai, X., Bachem, O., & Gelly, S. (2019) · arXiv
Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning
Cited by 134
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What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Andrychowicz, M., Raichuk, A., Stańczyk, P., Orsini, M., Girgin, S., Marinier, R., Hussenot, L., Geist, M., Pietquin, O., Michalski, M., et al. (2020) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 115
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On Robustness and Transferability of Convolutional Neural Networks
Djolonga, J., Yung, J., Tschannen, M., Romijnders, R., Beyer, L., Kolesnikov, A., Puigcerver, J., Minderer, M., D'Amour, A., Moldovan, D., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 98
- Verified
On Robustness and Transferability of Convolutional Neural Networks
Djolonga, J., Yung, J., Tschannen, M., Romijnders, R., Beyer, L., Kolesnikov, A., Puigcerver, J., Minderer, M., D'Amour, A., Moldovan, D., et al. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 98
- Verified
On Accurate Evaluation of GANs for Language Generation
Semeniuta, S., Severyn, A., & Gelly, S. (2018) · arXiv
Topic ModelingGenerative Adversarial Networks and Image Synthesis
Cited by 76
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