Adaptive Neural Networks for Efficient Inference

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Adaptive Neural Networks for Efficient Inference
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Investigating methods to enhance the efficiency of Deep Neural Networks (DNN) for inference tasks, the paper proposes adaptive approaches to reduce test-time costs by optimizing network structures. Key strategies include early exits, network selection, and focus on the last exit point to minimize evaluation time while maintaining accuracy levels. Various related works such as teacher-student models, network sparsification, and spatially adaptive networks are discussed to provide a comprehensive understanding of the proposed techniques.

  • Neural Networks
  • Efficient Inference
  • Deep Learning
  • Adaptive Approaches
  • Network Optimization
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Uploaded on Mar 21, 2025 | 0 Views

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