KDST

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  • pruning
  • 강화학습
  • cnn
  • Knowledge Distillation
  • ICCV
  • bearing fault detection
  • bearing fault diagnosis
  • autoencoder
  • anomaly detection
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  • Out of Distribution
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  • Dynamic Pruning
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  • neuron merging
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  • tensor decomposition
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  • SinGAN
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KDST는 딥러닝을 포함한 데이터와 지능에 관련된 여러 주제에 대해서 연구하는 팀입니다.
KDST

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  • Out of Distribution
  • MLP-Mixer
  • 2022-AAAI
  • pruning
  • bearing fault diagnosis
  • Multi-Task Learning
  • DegAug
  • Knowledge Distillation
  • 2022AAAI
  • point-based image editing #dragdiffusion #dragondiffusion
  • autoencoder
  • Diffusion Model
  • bearing fault detection
  • AAAI 2021
  • Data-Free Image Synthesis
  • Dynamic Pruning
  • Reinforcement Learning
  • Neural Architecture Search
  • DQN
  • neuron merging
  • anomaly detection
  • NaturalInversion
  • 강화학습
  • Manifold Regularized Dynamic Network Pruning
  • AdaShare
  • ICCV
  • Singulairty
  • gan
  • cnn
  • CVPR 2021

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