Over the recent year, Neural Architecture Search (NAS) has attracted a lot of attention. While being able to automate the discovery of better performing neural architectures than hand-crafted ones, it comes at a great price, requiring thousands of GPU hours to perform the search. The Zero Cost NAS competition challenges the participants to design efficient proxies for NAS, using negligible computational resources to evaluate neural architectures.
In collaboration with the AutoCAML team at Samsung AI Cambridge (led by Dr. Hongkai Wen), our research students, Lichuan Xiang and Youyang Sha, proposed new zero-cost NAS metrics that exploit the compressibility of neural networks. Our metrics are extremely efficient to run (reducing search cost from weeks/days to minutes), and achieves impressive results across multiple search spaces and datasets. In the competition, our teams won both the 1st and 2nd places (using different scoring functions), and the performance gap with the 3rd winning team is almost 2x. Checkout our poster here.
We welcomed back previous UG students on the 12th July for the Warwick Celebrates event. Thank you Ranko for your inspiring speech from the balcony!
Latest two academic promotions
The inaugural DCS Innovation competition was held on 17th June and was a great success.
Jasmine Brown, a Computer Science student at the University of Warwick has been named one of 2022’s MLH Top 50–a list of the organization’s most inspiring community members. The recipients are recognized for their exceptional contributions to the tech ecosystem & STEM education.
Oral Evidence to the House of Lords on Telephone Frauds and Countermeasures
On 23rd June 2022, Professor Feng Hao of the Systems and Security research theme was invited as one of the two expert witnesses to give oral evidence to the Fraud Act 2006 and Digital Fraud Committee appointed by the House of Lords at Parliament on trends of telephone frauds and the landscape of counter-fraud technologies. This is related to an ongoing EPSRC project, led by Professor Feng Hao (PI) from the Department of Computer Science and Dr Adrian von Mühlenen (co-I) from the Department of Psychology, the University of Warwick. In this project, the research team have been investigating a cost-effective solution to combat caller ID spoofing, a technique commonly used by fraudsters and scammers to pretend to call from trusted sources (e.g., banks, HMRC) as part of social engineering attacks. A transcript of the oral evidence session is published on the Parliament website.
We would like to congratulate Alex Dixon on his recent win in the Warwick Awards for Teaching Excellence!
Alex has made a huge impact within the department this year and it is great to see his hard work going rewarded with this prestigious award in the Postgraduates who teach category. You can find more information about the WATE awards here.