Posts Tagged :

iclr

Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Using Brain Imaging to Improve Neural Networks with Alona Fyshe
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Fairness and Robustness in Federated Learning with Virginia Smith
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we kick off our ICML coverage joined by Virginia Smith, an assistant professor in the Machine Learning Department at Carnegie Mellon University. … Read the rest

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What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we continue our ICLR 2021 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago. … Read the rest

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Probabilistic Numeric CNNs with Roberto Bondesan
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. … Read the rest

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Trends in Reinforcement Learning with Pablo Samuel Castro
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. … Read the rest

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Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Andreas Madsen, an independent researcher based in Denmark whose research focuses on developing interpretable machine learning models. … Read the rest

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