Talks

Jun 28, 2020
  • Latent Space Exploration for Safe and Trustworthy AI Models. AI@Thomson Reuters (Apr. 2024)
  • Neuron Interpretation of Deep NLP Models. ITU, Lahore, Pakistan (Dec. 2023)
  • Latent Concept based Explanation of Deep Learning Models. MBZUAI, Abu Dhabi (Nov. 2023)
  • Latent Concepts in Transformer Models of NLP. UKP, TU Darmstadt, Germany (Jun. 2023)
  • Knowledge Manifolds in Transformer Models of NLP, National Research Council (NRC), Canada (Apr. 2023)
  • Knowledge Manifolds in Transformer Models of NLP, University of Ottawa, Canada (Apr. 2023)
  • Analyzing Latent Concepts in Deep Neural Network Models of NLP. STCI Microsoft, India (Jun. 2022)
  • Analyzing Latent Concepts in Deep Neural Network Models of NLP. Data Science Institute, National University of Ireland Galway, (Jun. 2022)
  • Exploiting Redundancy in Pre-trained Models for Efficient Transfer Learning, Machine Learning and Data Analytics Symposium, Qatar (Mar. 2021)
  • Exploiting Redundancy in Pre-trained Models for Efficient Transfer Learning, Facebook, US (Feb 2021)
  • Exploiting Redundancy in Pre-trained Models for Efficient Transfer Learning, National Research Council, Canada (Nov 2020)
  • Interpreting Deep NLP Models, University of Edinburgh, UK (April 2020)
  • Summarizing Research on Interpreting Machine Translation Models, University of Sheffield, UK (Mar 2020)
  • Efficient Transfer Learning of Pretrained Model, 7th International Conference on Language and Technology, Pakistan (February 2020)
  • Analyzing Individual Neurons in Deep NLP Models at Google, Facebook, Amazon, Salesforce and Bosch, US (April 2019)
  • Hidden Linguistics in Deep NLP Models, Symposium on Natural Language Processing, University of Moratuwa, Sri Lanka (March 2019)
  • Machine Translation in the Real World, Kings College London, UK (March 2019)
  • Analyzing Individual Neurons in Deep NLP Models, University of Melbourne, Melbourne, Australia (Feb. 2019)
  • Analyzing Individual Neurons in Deep NLP Models, Thomson Reuters, Toronto, Canada (Feb. 2019)
  • Research Findings, NRC, Ottawa, Canada (Feb. 2018)
  • What do Neural Machine Translation Models Learn about Morphology, Macquarie University, Sydney, Australia (Apr. 2017)
  • What do Neural Machine Translation Models Learn about Morphology, University of Melbourne, Melbourne, Australia (Apr. 2017)
  • From Phrase-based to Neural Machine Translation. Workshop on Semitic Machine Translation, AMTA, Austin, US (Nov. 2016) (Keynote)
  • Deep Learning – Neural Machine Translation. Sixth Conference on Language and Technology (CLT16), Lahore, Pakistan (Nov. 2016) (Keynote)
  • Content Model Applications for Promoting Local Language Content. Workshop on Facilitating Local Language Content Access and Generation using Human Language Technologies, UET, Lahore, Pakistan (Aug. 2015) (Keynote)
  • Statistical Machine Translation for Community Service: Translating Educational Content. Fifth Conference on Language and Technology (CLT14), Karachi, Pakistan (Nov. 2014) (Keynote)
  • Separating Transliterations from Translations in Transliteration Mining Context. FBK, Trento, Italy (Oct. 2012)
  • Unsupervised Transliteration Mining. School of Science and Engineering, Lahore University of Management and Sciences, Pakistan (Apr. 2012)
  • Unsupervised Transliteration Mining, Punjab University College of Information Technology, Pak- istan (Apr. 2012)





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Hassan Sajjad
Associate Professor

My research interests include natural language processing, machine translation and deep learning