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Machine Learning/Deep Learning

Seminar Lead: Dr Burcu Can

If you would like to be sent the meeting link, please contact April Harper, who will be able to provide you with log on details.  They provisionally take place on Wednesdays and Fridays.

If you would like to read about past Research Seminars, they are detailed on our RGCL Blog Archive.

Machine Learning/Deep Learning seminar series aims to discuss current trends and challenges in machine learning and deep learning. The seminar series welcomes talks on machine learning models and algorithms, neural network architectures, representation learning techniques with an application to text, image, and speech. The seminar series also welcomes talks on the analysis and interpretation of neural networks.


Upcoming Seminars in this Series:

DATE/timeSpeakerAffiliationTitle
16.11.2021Dr Melanie Mitchell Santa Fe Institute, USAtbc
DecemberDr Dat Quoc NguyenVinAI Research, Vietnamtbc
JanuaryDr Suresh ManandharWiseyak, Nepaltbc

— Past Seminars in this series

If you would like to read about past research seminars, they are detailed on the Blog Archive or linked below.

DATE/timeSpeakerAffiliationTitle
12.10.2021Dr Yuval PinterBen-Gurion University, IsraelChallenging and Adapting NLP Models to Lexical Pheonmena
15.6.2021Iacer CalixtoUniversity of AmsterdamWikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models By Predicting Wikipedia Hyperlinks
25.5.2021Dr Ryan CotterellETH ZurichTwo New Insights into Beam Search
11.5.2021Dr Daichi MochihashiThe Institute of Statistical Mathematics, Tokyo-JapanHow LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
02.03.21
Dr Siva ReddyMcGill UniversityPathological Behaviours of Large Neural Models of Language
04.12.2020Dr Burcu CanUniversity of WolverhamptonHow to Represent Words?