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ORCIDGábor Melis
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2020 – today
- 2024
[c8]Gábor Melis:
Adaptive Hashing - Faster Hash Functions with Fewer Collisions. ELS 2024: 22-40- 2022
- [j2]Gábor Melis, András György, Phil Blunsom:
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling. J. Mach. Learn. Res. 23: 75:1-75:36 (2022) - [i13]Gábor Melis:
Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate Averaging for Stochastic Optimization. CoRR abs/2209.12581 (2022) - [i12]Gábor Melis:
Circling Back to Recurrent Models of Language. CoRR abs/2211.01848 (2022) - 2020
- [c7]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. ICLR 2020 - [i11]Elman Mansimov, Gábor Melis, Lei Yu:
Capturing document context inside sentence-level neural machine translation models with self-training. CoRR abs/2003.05259 (2020) - [i10]Gábor Melis, András György, Phil Blunsom:
Mutual Information Constraints for Monte-Carlo Objectives. CoRR abs/2012.00708 (2020)
2010 – 2019
- 2019
- [c6]Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama:
Variational Smoothing in Recurrent Neural Network Language Models. ICLR (Poster) 2019 - [c5]Yoon Kim, Alexander M. Rush
, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) 2019: 1105-1117 - [i9]Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama:
Variational Smoothing in Recurrent Neural Network Language Models. CoRR abs/1901.09296 (2019) - [i8]Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. CoRR abs/1904.03746 (2019) - [i7]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. CoRR abs/1909.01792 (2019) - [i6]Chris Dyer, Gábor Melis, Phil Blunsom:
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR abs/1909.09428 (2019) - 2018
- [j1]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6: 317-328 (2018) - [c4]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) 2018 - [c3]Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom:
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) 2018 - [i5]Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom:
Pushing the bounds of dropout. CoRR abs/1805.09208 (2018) - [i4]Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann:
Encoding Spatial Relations from Natural Language. CoRR abs/1807.01670 (2018) - 2017
- [i3]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. CoRR abs/1707.05589 (2017) - [i2]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. CoRR abs/1712.07040 (2017) - 2016
- [c2]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP 2016: 1078-1087 - [i1]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR abs/1609.09315 (2016) - 2014
- [c1]Gábor Melis:
Dissecting the Winning Solution of the HiggsML Challenge. HEPML@NIPS 2014: 57-67
Coauthor Index
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