Gábor Melis

24 papers A* 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Hashing: Faster Hash Functions with Fewer Collisions.
CoRR
Gábor Melis
2024 — conf
Adaptive Hashing - Faster Hash Functions with Fewer Collisions.
ELS
Gábor Melis
2022 J jnl
Circling Back to Recurrent Models of Language.
CoRR
Gábor Melis
2022 J jnl
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling.
J. Mach. Learn. Res.
Gábor Melis, András György, Phil Blunsom
2022 J jnl
Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate Averaging for Stochastic Optimization.
CoRR
Gábor Melis
2020 J jnl
Capturing document context inside sentence-level neural machine translation models with self-training.
CoRR
Elman Mansimov, Gábor Melis, Lei Yu
2020 A* conf
Mogrifier LSTM.
ICLR
Gábor Melis, Tomás Kociský, Phil Blunsom
2020 J jnl
Mutual Information Constraints for Monte-Carlo Objectives.
CoRR
Gábor Melis, András György, Phil Blunsom
2019 J jnl
A Critical Analysis of Biased Parsers in Unsupervised Parsing.
CoRR
Chris Dyer, Gábor Melis, Phil Blunsom
2019 J jnl
Mogrifier LSTM.
CoRR
Gábor Melis, Tomás Kociský, Phil Blunsom
2019 — conf
Unsupervised Recurrent Neural Network Grammars.
NAACL-HLT (1)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
2019 J jnl
Unsupervised Recurrent Neural Network Grammars.
CoRR
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
2019 — conf
Variational Smoothing in Recurrent Neural Network Language Models.
ICLR (Poster)
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
2019 J jnl
Variational Smoothing in Recurrent Neural Network Language Models.
CoRR
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
2018 J jnl
Encoding Spatial Relations from Natural Language.
CoRR
Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
2018 — conf
Memory Architectures in Recurrent Neural Network Language Models.
ICLR (Poster)
Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
2018 — conf
On the State of the Art of Evaluation in Neural Language Models.
ICLR (Poster)
Gábor Melis, Chris Dyer, Phil Blunsom
2018 J jnl
Pushing the bounds of dropout.
CoRR
Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
2018 J jnl
The NarrativeQA Reading Comprehension Challenge.
Trans. Assoc. Comput. Linguistics
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
2017 J jnl
On the State of the Art of Evaluation in Neural Language Models.
CoRR
Gábor Melis, Chris Dyer, Phil Blunsom
2017 J jnl
The NarrativeQA Reading Comprehension Challenge.
CoRR
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
2016 A* conf
Semantic Parsing with Semi-Supervised Sequential Autoencoders.
EMNLP
Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
2016 J jnl
Semantic Parsing with Semi-Supervised Sequential Autoencoders.
CoRR
Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
2014 — conf
Dissecting the Winning Solution of the HiggsML Challenge.
HEPML@NIPS
Gábor Melis