Can Language Models be Weak Annotators We are happy to have Phong Le, from Amazon, talk on Teams on Wed 3 March at 12 noon on Teams. Abstract Deep language models e.g. BERT and GPT3 are the breakthrough in Natural Language Processing in the last 3 years. Being trained on massive raw text data, they … Seminar – Phong Le, Amazon – 3rd March 2021
Abstract: Garbage collection is no longer an esoteric research interest. Mainstream programming languages like Java and C# rely on high-performance memory managed run time systems. In this talk, I will motivate the need for rigorous models of memory management to enable more powerful analysis and optimization techniques. I will draw on a diverse range of … Seminar: ‘Formalizing Garbage: Mathematical Models of Memory Management’ by Jeremy Singer
Simon Dobson, School of Computer Science, University of St Andrews Abstract: Complex networks provide a way of modelling systems with lots of dependent elements, such as traffic networks or social networks. By running processes over these networks we can explore how the topology of the network affects the way the process evolves, and potentially identify … School Seminar: Complex Networks and Complex Processes
By: Josef Svenningsson, Chalmers University of Technology, Sweden Feldspar is a domain specific language with the goal of raising the level of abstraction for performance sensitive, low-level code. Feldspar is a functional language embedded in Haskell, which offers a high-level style of programming. The key to generating generating efficient code from such descriptions is to … The Design and Implementation of Feldspar