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SUMMARY:The intersection of Interpretability and Fairness - Giuseppe Attan
 asio\, Milan NLP
DTSTART:20240517T110000Z
DTEND:20240517T120000Z
UID:TALK213208@talks.cam.ac.uk
CONTACT:Richard Diehl Martinez
DESCRIPTION:A survey of methods of interpretability of neural networks: fr
 om gender bias mitigation to interpreting BERT embeddings in a psycholingu
 istic manner.\n\nBio:\n\nGiuseppe Attanasio is a postdoctoral researcher a
 ffiliated with the Milan Natural Language Processing (MilaNLP) Lab at Bocc
 oni University. His research primarily focuses on large-scale neural archi
 tectures for Natural Language Processing. \n\nAttanasio has contributed to
  various research projects and publications in the field of NLP. Notably\,
  he has worked on topics such as automatic misogyny identification\, bench
 marking post-hoc interpretability approaches for transformer-based models\
 , and entropy-based attention regularization for bias mitigation. \nHis wo
 rk often involves the development and deployment of NLP algorithms to addr
 ess real-world problems .
LOCATION:https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzR
 TOUUxY3Q4QT09&amp\;from=addon 
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