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Infinite Masonry

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  • Keynote: ReduNet: Deep (convolutional) networks from the principle of rate reductionMicrosoft Research27:49Feb, 2022357backgroundvideo thumbnail for: Keynote: ReduNet: Deep (convolutional) networks from the principle of rate reduction
  • Research talks: Few-shot and zero-shot visual learning and reasoningMicrosoft Research29:33Feb, 2022229backgroundvideo thumbnail for: Research talks: Few-shot and zero-shot visual learning and reasoning
  • Closing remarks: Towards Human-Like Visual Learning and ReasoningMicrosoft Research02:14Feb, 2022181backgroundvideo thumbnail for: Closing remarks: Towards Human-Like Visual Learning and Reasoning
  • Research talks: Generalization and adaptationMicrosoft Research29:55Feb, 2022170backgroundvideo thumbnail for: Research talks: Generalization and adaptation
  • Research talks: Learning for interpretabilityMicrosoft Research28:47Feb, 2022146backgroundvideo thumbnail for: Research talks: Learning for interpretability
  • Keynote: Learning from observation: Small-data approach to human common senseMicrosoft Research28:17Feb, 2022133backgroundvideo thumbnail for: Keynote: Learning from observation: Small-data approach to human common sense
  • Opening remarks: Towards Human-Like Visual Learning and ReasoningMicrosoft Research03:25Feb, 202283backgroundvideo thumbnail for: Opening remarks: Towards Human-Like Visual Learning and Reasoning
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