1 code implementation • 8 May 2024 • Henning Heyen, Amy Widdicombe, Noah Y. Siegel, Maria Perez-Ortiz, Philip Treleaven
Large language models (LLMs) are becoming bigger to boost performance.
no code implementations • 4 Apr 2024 • Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, Maria Perez-Ortiz
In this work, we introduce Correlational Explanatory Faithfulness (CEF), a metric that can be used in faithfulness tests based on input interventions.
no code implementations • 2 Apr 2024 • Zekun Wu, Sahan Bulathwela, Maria Perez-Ortiz, Adriano Soares Koshiyama
Recent advancements in Large Language Models (LLMs) have significantly increased their presence in human-facing Artificial Intelligence (AI) applications.
1 code implementation • 11 Dec 2023 • Theodore Wolf, Nantas Nardelli, John Shawe-Taylor, Maria Perez-Ortiz
Governments around the world aspire to ground decision-making on evidence.
no code implementations • 22 Jun 2022 • Sahan Bulathwela, Meghana Verma, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections.
no code implementations • 10 Jan 2022 • Maria Perez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz
The user questionnaire revealed that participants found the Content Flow Bar helpful and enjoyable for finding relevant information in videos.
no code implementations • 16 Nov 2021 • Maria Perez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor
Artifical Intelligence (AI) in Education has great potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of new ways of teaching and learning.
no code implementations • 15 Nov 2021 • Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor
We then show that in data starvation regimes, holding out data for the test set bounds adversely affects generalisation performance, while self-certified strategies based on PAC-Bayes bounds do not suffer from this drawback, proving that they might be a suitable choice for the small data regime.
no code implementations • 21 Sep 2021 • Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler
We experiment on 6 datasets with different strategies and amounts of data to learn data-dependent PAC-Bayes priors, and we compare them in terms of their effect on test performance of the learnt predictors and tightness of their risk certificate.
no code implementations • 3 Sep 2021 • Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor
One of the main challenges in advancing this research direction is the scarcity of large, publicly available datasets.
no code implementations • 19 Dec 2020 • Aliaksei Mikhailiuk, Maria Perez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk
As the existing HDR quality datasets are limited in size, we created a Unified Photometric Image Quality dataset (UPIQ) with over 4, 000 images by realigning and merging existing HDR and standard-dynamic-range (SDR) datasets.
1 code implementation • 2 Nov 2020 • Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
This paper introduces VLEngagement, a novel dataset that consists of content-based and video-specific features extracted from publicly available scientific video lectures and several metrics related to user engagement.
1 code implementation • 12 Apr 2020 • Aliaksei Mikhailiuk, Clifford Wilmot, Maria Perez-Ortiz, Dingcheng Yue, Rafal Mantiuk
In this paper we propose ASAP, an active sampling algorithm based on approximate message passing and expected information gain maximization.
1 code implementation • 3 Dec 2019 • Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
One of the most ambitious use cases of computer-assisted learning is to build a recommendation system for lifelong learning.
1 code implementation • 21 Nov 2019 • Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
The recent advances in computer-assisted learning systems and the availability of open educational resources today promise a pathway to providing cost-efficient, high-quality education to large masses of learners.
no code implementations • 24 Mar 2019 • Maria Perez-Ortiz, Pedro A. Gutierrez, Peter Tino, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
Weather and atmospheric patterns are often persistent.
no code implementations • 24 Mar 2019 • Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk, Cesar Hervas-Martinez
Data augmentation is rapidly gaining attention in machine learning.
2 code implementations • 11 Dec 2017 • Maria Perez-Ortiz, Rafal K. Mantiuk
Most popular strategies to capture subjective judgments from humans involve the construction of a unidimensional relative measurement scale, representing order preferences or judgments about a set of objects or conditions.