Conferences

Report from the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science

The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS) is over, and it was a full success. This year, AICS celebrated its 30th anniversary and was hosted by Trinity College Dublin’s School of Computer Science and Statistics, the School of Psychology and the Institute of Neuroscience. I had the honour to co-organize the conference together with Rob Brennan (General Co-Chair), Ruth Byrne (Cognitive Science Chair) and Jeremy Debattista (Publication Chair). AICS took place on the Trinity campus at the Trinity Long Room Hub, Trinity’s interdisciplinary arts and humanities research institute. The following text is based on [3]. While once a niche area, the fields of Cognitive Science and Artificial Intelligence, which encompass Data Analytics, Information Retrieval, and Machine Learning, are now Read more…

By Joeran Beel, ago
Jobs / Career

“China Scholarship Council – Trinity College Dublin Joint Scholarship” now open for applications

As in previous years, Trinity College Dublin has up to 10 scholarships to award for PhD positions as part of the China Scholarship Council – Trinity College Dublin Joint Scholarship Programme. Each scholarship will include a full fee-waiver from Trinity, and a stipend for living costs (currently €1,200 per month), airfare and health insurance, provided by the CSC, this does not include bench fees. Applicants must be Chinese nationals but can be registered on Masters programmes either within China or at an overseas institution (including Trinity). To be eligible for the scheme, students should have received an unconditional offer letter for their PhD position at Trinity College Dublin. Conditional offers letters may be accepted but only subject to meeting academic Read more…

By Joeran Beel, ago
Seminars

Serving Customer Insights in Zalando (Upcoming Presentation in our Machine Learning Lecture)

After announcing a guest presentation from Zalando in our e-Business lecture, we are delighted to announce another talk by Zalando, this time in our machine learning lecture. Antoaneta Marinova from Zalando, will give a presentation on 27th November at 15:00 o’clock. Antoaneta is a Data Engineer in the Customer Fashion Profile team. She works at Zalando for two years, mainly on attribute recommendations and customer segmentation. Previously, she was working on ad optimisation for Adcash and as a software developer in Axway. She has a masters degree in Artificial Intelligence and a bachelor in Computer Science from Sofia University. Antoaneta´s talk is titled “Serving Customer Insights in Zalando“. The abstract is as follows. The presentation will focus on Zalando’s Customer Fashion Read more…

By Joeran Beel, ago
Machine Learning

Accepted Workshop @ECIR2019: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Our proposal for the “1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)“, to be held at the  41st European Conference on Information Retrieval (ECIR), was accepted. AMIR will take place on the 14th of April 2019 in Cologne, Germany. The algorithm selection problem describes the challenge of identifying the best algorithm for a given problem space. In many domains, particularly artificial intelligence, the algorithm selection problem is well studied, and various approaches and tools exist to tackle it in practice. Especially through meta-learning impressive performance improvements have been achieved. The information retrieval (IR) community, however, has paid little attention to the algorithm selection problem, although the problem is highly relevant in information retrieval. AMIR will bring Read more…

By Joeran Beel, ago
Machine Learning

Best-Paper Award for our Publication “Implementing Neural Turing Machines” at the 27th International Conference on Artificial Neural Networks

We received the best-paper award at the 27th International Conference on Artificial Neural Networks (ICANN 2018) for our paper Implementing Neural Turing Machines. Our student, and co-author of the paper, Mark Collier was at ICANN to present our work about implementing a Neural Turing Machine. Neural Turing Machines (NTMs) are an instance of Memory Augmented Neural Networks, a new class of recurrent neural networks which decouple computation from memory by introducing an external memory unit. Neural Turing Machines have demonstrated superior performance over Long Short-Term Memory Cells in several sequence learning tasks. A number of open source implementations of Neural Turing Machines exist but are unstable during training and/or fail to replicate the reported performance of NTMs. This paper presents the details Read more…

By Joeran Beel, ago
Machine Learning

An Empirical Comparison of Syllabuses for Curriculum Learning (Pre-Print)

Update 12/11/2018: Our paper has been accepted at AICS 2018 and will be presented at the conference in December. We have published a pre-print (now available on Arxiv) which outlines our work comparing different syllabuses for curriculum learning. Neural networks are typically trained by repeatedly randomly selecting examples from a dataset and taking steps of stochastic gradient descent. Curriculum learning is an alternative approach to training neural networks, inspired by human learning in which training examples are presented according to a syllabus typically of increasing “difficulty”. Curriculum learning has shown some impressive empirical results, but little is known about the relative merits of different syllabuses. In this work, we provide an empirical comparison of a number of syllabuses found in Read more…

By Mark Collier, ago
Machine Learning

Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Lars Kotthoff and I have applied to organize the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) at the 41st European Conference on Information Retrieval (ECIR). Let’s cross fingers and hope it will get accepted. In the following, you find the proposal (also available on ResearchGate as PDF). @InProceedings{BeelKotthoff2018, author = {Beel, Joeran and Kotthoff, Lars}, title = {Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)}, booktitle = {ResearchGate Repository}, year = {2018}, pages = {1–6}, doi = {10.13140/RG.2.2.14548.65922}, url = {https://www.researchgate.net/publication/328965675_Proposal_for_the_1st_Interdisciplinary_Workshop_on_Algorithm_Selection_and_Meta-Learning_in_Information_Retrieval_AMIR}, abstract = {The algorithm selection problem describes the challenge of identifying the best algorithm for a given problem space. In many domains, particularly artificial intelligence, the algorithm selection problem Read more…

By Joeran Beel, ago
Jobs & Internships

Open Call for “Government of Ireland Postgraduate Scholarship Programme 2019”

The Irish Research Council (IRC) has published a new call for its “Government of Ireland Postgraduate Scholarship” programme. We are eligible to supervise applicants during their application process and act as PhD supervisor for the 4-year period of the scholarship. Hence, if you are interested in doing a PhD at Trinity College Dublin in the field of machine learning or recommender systems, or any other of our research fields, please contact us. From their website The Government of Ireland Postgraduate Scholarship Programme is an established national initiative, funded by the Department of Education and Skills and managed by the Council. In 2017, we invested in a total of 1,179 postgraduate scholars, with over 5,000 individual scholarships for excellent research awarded Read more…

By Joeran Beel, ago
Machine Learning

3rd Call for EU Marie Curie EDGE Fellowships (e.g. in Machine-Learning or Recommender-Systems Research)

The 3rd call for EU Marie Curie EDGE fellowships has been published. We successfully supported the application of one EDGE fellow a year ago, and we would be happy to support talented candidates this year, too. So, if you are interested in an EDGE fellowship in the field of machine learning, recommender systems or another of our research areas, please contact us. Let us know some details about your yourself and your project idea. EDGE is Marie Skłodowska-Curie COFUND Action, led by Trinity College Dublin on behalf of a group of academic institutions from across Ireland. EDGE will offer 71 prestigious Fellowships for experienced researchers (post-doctoral or equivalent) relocating to Ireland. EDGE is also a training and development programme for scientific excellence, offering a Read more…

By Joeran Beel, ago