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Two-Tailed Averaging: Anytime, Adaptive, Once-in-a-While Optimal Weight Averaging for Better Generalization. G Melis. arXiv preprint arXiv:2209.12581. , 2022. 2022. Articles 1–18. Research Scientist, Google DeepMind - Cited by 1,894 - Artificial Intelligence - Natural Language Processing.
2019. pdf bib abs. Unsupervised Recurrent Neural Network Grammars. Yoon Kim | Alexander Rush | Lei Yu | Adhiguna Kuncoro | Chris Dyer | Gábor Melis. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Nov 20, 2014 · The winner of the four-month long Higgs Machine Learning Challenge, launched on 12 May, is Gábor Melis from Hungary, followed closely by Tim Salimans from The Netherlands and Pierre Courtiol from France. They will receive cash prizes, sponsored by Paris-Saclay Centre for Data Science and Google, of $7000, $4000, and $2000 respectively.
Research Scientist at Google DeepMind · I'm a researcher and hacker with many years of experience in both artificial intelligence and software development. · Experience: Google DeepMind ·...
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Gábor Melis: Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate Averaging for Stochastic Optimization. CoRR abs/2209.12581 (2022)
Melis Gábor. Életrajzi adatok. Születési név. Melis György, keresztnevét a nagy magyar operaénekes azonos neve miatt megváltoztatta. Született. 1949. szeptember 25. (74 éves) [1] Budapest. Pályafutása. Iskolái.
Jul 18, 2017 · Gábor Melis, Chris Dyer, Phil Blunsom. Ongoing innovations in recurrent neural network architectures have provided a steady influx of apparently state-of-the-art results on language modelling benchmarks. However, these have been evaluated using differing code bases and limited computational resources, which represent uncontrolled sources of ...
