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Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627

2023-05-01 · 33 min · episode 627 · 16 entities

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  • mentioned TWIML company
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  • mentioned Qualcomm Technologies. In company
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  • works at Qualcomm Technologies. In company
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    researcher at Qualcomm Technologies. In
  • works at Qualcomm Technologies. In company
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    researcher at Qualcomm Technologies. In
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persons 3

  • mentioned Christos Louizos person
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    Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
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Episode description as stored
Today we kick off our coverage of the 2023 ICLR conference joined by Christos Louizos, an ML researcher at Qualcomm Technologies. In our conversation with Christos, we explore his paper Hyperparameter Optimization through Neural Network Partitioning and a few of his colleague's works from the conference. We discuss methods for speeding up attention mechanisms in transformers, scheduling operations for computation graphs, estimating channels in indoor environments, and adapting to distribution shifts in test time with neural network modules. We also talk through the benefits and limitations of federated learning, exploring sparse models, optimizing communication between servers and devices, and much more.  The complete show notes for this episode can be found at https://twimlai.com/go/627.