Seminars
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Herman Kamper (Stellenbosch University) ” Learning acoustic units and words from unlabelled speech (with a bit of vision)”
12:00 pm
Herman Kamper (Stellenbosch University) ” Learning acoustic units and words from unlabelled speech (with a bit of vision)”
@ via Zoom
Oct 5 @ 12:00 pm – 1:15 pm
Abstract Can a system learn to recognise (and understand) speech with little or no supervision? In contrast to modern speech recognition systems which are trained on thousands of hours of transcribed speech audio, human infants[...]
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Piotr Szymanski (Wroclaw University of Science and Technology) “Bayesian Approaches to Model Comparison in ML/NLP and Quantifying the ASR-NLP Gap”
12:00 pm
Piotr Szymanski (Wroclaw University of Science and Technology) “Bayesian Approaches to Model Comparison in ML/NLP and Quantifying the ASR-NLP Gap”
@ via Zoom
Oct 12 @ 12:00 pm – 1:15 pm
Abstract This is a two-part seminar. The first part will be dedicated to discussing how we can apply bayesian approaches to model comparison in NLP (and also ML in general), the drawbacks and limitations of[...]
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Annie Louis (Google) “Understanding Indirect Answers to Polar Questions”
12:00 pm
Annie Louis (Google) “Understanding Indirect Answers to Polar Questions”
@ via Zoom
Oct 19 @ 12:00 pm – 1:15 pm
Abstract For the polar (yes/no) question “Want to get dinner?”, there are many perfectly natural responses in addition to ‘yes’ and ‘no’. Humans can spontaneously interpret responses such as “I’m starving.”, “You are up for[...]
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Zhizheng Wu (Facebook) “Audio Deepfake Detection: An Overview and its Challenges”
12:00 pm
Zhizheng Wu (Facebook) “Audio Deepfake Detection: An Overview and its Challenges”
@ via Zoom
Oct 23 @ 12:00 pm – 1:15 pm
Abstract Deep learning has been successfully applied to solve various complex problems. However, deep learning algorithms have also been employed to create deepfakes (e.g. fake audios, images and videos) for misleading information. Deepfakes are increasingly[...]
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Judy Hoffman (Georgia Tech) “Understanding and Mitigating Bias in Visual Recognition”
12:00 pm
Judy Hoffman (Georgia Tech) “Understanding and Mitigating Bias in Visual Recognition”
@ via Zoom
Oct 26 @ 12:00 pm – 1:15 pm
Abstract As visual recognition models are developed across diverse applications, we need the ability to reliably deploy our systems in a variety of environments. At the same time, visual models tend to be trained and[...]
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Preslav Nakov (Qatar Computing Research Institute) “Detecting the ‘Fake News’ Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic”
12:00 pm
Preslav Nakov (Qatar Computing Research Institute) “Detecting the ‘Fake News’ Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic”
@ via Zoom
Oct 30 @ 12:00 pm – 1:15 pm
Abstract Given the recent proliferation of disinformation online, there has been growing research interest in automatically debunking rumors, false claims, and “fake news”. A number of fact-checking initiatives have been launched so far, both manual[...]
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