no code implementations • EMNLP 2020 • Husam Quteineh, Spyridon Samothrakis, Richard Sutcliffe
In this paper we propose a novel data augmentation approach where guided outputs of a language generation model, e. g. GPT-2, when labeled, can improve the performance of text classifiers through an active learning process.
no code implementations • COLING 2022 • Husam Quteineh, Spyridon Samothrakis, Richard Sutcliffe
To overcome this challenge, we present a novel approach where knowledge can be distilled from a teacher model to a student model through the generation of synthetic data.
2 code implementations • 27 Oct 2023 • Damian Machlanski, Spyridon Samothrakis, Paul Clarke
We find that, while the choice of algorithm remains crucial to obtaining state-of-the-art performance, hyperparameter selection in ensemble settings strongly influences the choice of algorithm, in that a poor choice of hyperparameters can lead to analysts using algorithms which do not give state-of-the-art performance for their data.
1 code implementation • 2 Mar 2023 • Damian Machlanski, Spyridon Samothrakis, Paul Clarke
We also find hyperparameter tuning and model evaluation are much more important than causal estimators and ML methods.
no code implementations • 8 Jun 2020 • Daniel Hernandez, Kevin Denamganai, Sam Devlin, Spyridon Samothrakis, James Alfred Walker
They allow to verify and replicate existing findings, and to link is connected results.
1 code implementation • 2 Jun 2020 • Michael Fairbank, Spyridon Samothrakis, Luca Citi
Experimental results show the speed of using target space, and examples of improved generalisation, for fully-connected networks and convolutional networks, and the ability to recall and process long time sequences and perform natural-language processing with recurrent networks.
no code implementations • 4 May 2020 • Spyridon Samothrakis
The debate between the optimal way of allocating societal surplus (i. e. products and services) has been raging, in one form or another, practically forever; following the collapse of the Soviet Union in 1991, the market became the only legitimate form of organisation -- there was no other alternative.
no code implementations • 17 Mar 2018 • Spyridon Samothrakis
The welfare of modern societies has been intrinsically linked to wage labour.
1 code implementation • IEEE Transactions on Computational Intelligence and AI in Games 2012 • Cameron B. Browne, Edward Powley, Daniel Whitehouse, Simon M. Lucas, Peter I. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, Simon Colton
Monte Carlo Tree Search (MCTS) is a recently proposed search method that combines the precision of tree search with the generality of random sampling.