Gábor Melis

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 21

Top Topics

Ad Hoc Information Retrieval

Semantic Parsing

Top Venues

J. Mach. Learn. Res.

Publications

Gábor Melis
Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate Averaging for Stochastic Optimization. CoRR (2022)
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 (2022)
Gábor Melis
Circling Back to Recurrent Models of Language. CoRR (2022)
Gábor Melis, András György, Phil Blunsom
Mutual Information Constraints for Monte-Carlo Objectives. CoRR (2020)
Elman Mansimov, Gábor Melis, Lei Yu
Capturing document context inside sentence-level neural machine translation models with self-training. CoRR (2020)
Gábor Melis, Tomás Kociský, Phil Blunsom
Mogrifier LSTM. ICLR (2020)
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
Variational Smoothing in Recurrent Neural Network Language Models. ICLR (Poster) (2019)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
Unsupervised Recurrent Neural Network Grammars. CoRR (2019)
Chris Dyer, Gábor Melis, Phil Blunsom
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR (2019)
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
Variational Smoothing in Recurrent Neural Network Language Models. CoRR (2019)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) (2019)
Gábor Melis, Tomás Kociský, Phil Blunsom
Mogrifier LSTM. CoRR (2019)
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)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) (2018)
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 (2018)
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 (2018)
Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
Pushing the bounds of dropout. CoRR (2018)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. CoRR (2017)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. CoRR (2017)
Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR (2016)
Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP (2016)
Gábor Melis
Dissecting the Winning Solution of the HiggsML Challenge. HEPML@NIPS (2014)