Gábor Melis

According to our database, Gábor Melis authored at least 16 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling.

Gábor Melis, András György, Phil Blunsom

J. Mach. Learn. Res., 2022

Circling Back to Recurrent Models of Language.

Gábor Melis

CoRR, 2022

Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate Averaging for Stochastic Optimization.

Gábor Melis

CoRR, 2022

2020

Mutual Information Constraints for Monte-Carlo Objectives.

Gábor Melis, András György, Phil Blunsom

CoRR, 2020

Capturing document context inside sentence-level neural machine translation models with self-training.

Elman Mansimov, Gábor Melis, Lei Yu

CoRR, 2020

Mogrifier LSTM.

Gábor Melis, Tomás Kociský, Phil Blunsom

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Critical Analysis of Biased Parsers in Unsupervised Parsing.

Chris Dyer, Gábor Melis, Phil Blunsom

CoRR, 2019

Unsupervised Recurrent Neural Network Grammars.

Yoon Kim, Alexander M. 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, 2019

Variational Smoothing in Recurrent Neural Network Language Models.

Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

The NarrativeQA Reading Comprehension Challenge.

Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette

Trans. Assoc. Comput. Linguistics, 2018

Encoding Spatial Relations from Natural Language.

Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann

CoRR, 2018

Pushing the bounds of dropout.

Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom

CoRR, 2018

Memory Architectures in Recurrent Neural Network Language Models.

Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom

Proceedings of the 6th International Conference on Learning Representations, 2018

On the State of the Art of Evaluation in Neural Language Models.

Gábor Melis, Chris Dyer, Phil Blunsom

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.

Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

Dissecting the Winning Solution of the HiggsML Challenge.

Gábor Melis

Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014