Sylvain Gelly

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Papers (22)

1. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale cs.CV · 2020 · author #10
2. MULEX: Disentangling Exploitation from Exploration in Deep RL cs.LG · 2019 · author #4
3. Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates cs.LG · 2019 · author #7
4. High-Fidelity Image Generation With Fewer Labels cs.LG · 2019 · author #6
5. Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities cs.LG · 2019 · author #2
6. Parameter-Efficient Transfer Learning for NLP cs.LG · 2019 · author #8
7. Towards Accurate Generative Models of Video: A New Metric & Challenges cs.CV · 2018 · author #6
8. Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations cs.LG · 2018 · author #5
9. On Self Modulation for Generative Adversarial Networks cs.LG · 2018 · author #4
10. A Large-Scale Study on Regularization and Normalization in GANs cs.LG · 2018 · author #5
11. Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem cs.LG · 2018 · author #4
12. On Accurate Evaluation of GANs for Language Generation cs.CL · 2018 · author #3
13. Assessing Generative Models via Precision and Recall stat.ML · 2018 · author #5
14. Competitive Training of Mixtures of Independent Deep Generative Models cs.LG · 2018 · author #5
15. MemGEN: Memory is All You Need cs.LG · 2018 · author #1
16. Gradient Descent Quantizes ReLU Network Features stat.ML · 2018 · author #3
17. Are GANs Created Equal? A Large-Scale Study stat.ML · 2017 · author #4
18. Critical Hyper-Parameters: No Random, No Cry cs.LG · 2017 · author #2
19. Toward Optimal Run Racing: Application to Deep Learning Calibration cs.LG · 2017 · author #2
20. Better Text Understanding Through Image-To-Text Transfer cs.CL · 2017 · author #2
21. From optimal transport to generative modeling: the VEGAN cookbook stat.ML · 2017 · author #2
22. AdaGAN: Boosting Generative Models stat.ML · 2017 · author #2

Mentions

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Frequent Coauthors

• Olivier Bousquet 8 shared papers
• Damien Vincent 7 shared papers
• Karol Kurach 7 shared papers
• Mario Lucic 6 shared papers
• Marcin Michalski 4 shared papers
• Xiaohua Zhai 4 shared papers
• Bernhard Sch\"olkopf 3 shared papers
• Hartmut Maennel 3 shared papers
• Ilya Tolstikhin 3 shared papers
• Neil Houlsby 3 shared papers
• Olivier Bachem 3 shared papers
• Olivier Teytaud 3 shared papers
• Aliaksei Severyn 2 shared papers
• Andre Barreto 2 shared papers
• Carl-Johann Simon-Gabriel 2 shared papers
• Francesco Locatello 2 shared papers
• Gunnar R\"atsch 2 shared papers
• Hugo Penedones 2 shared papers
• Lucas Beyer 2 shared papers
• Thomas Unterthiner 2 shared papers