Dabin Wu

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dabin Wu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Dabin Wu's perspective

Ordered by how strongly the researchers Dabin Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Multiple Layers of Features from Tiny Images
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
  4. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  5. Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
  6. Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
  7. PACT: Parameterized Clipping Activation for Quantized Neural Networks
  8. Ferroelectric FET analog synapse for acceleration of deep neural network training (International Electron Devices Meeting)
  9. Learned Step Size Quantization
  10. Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element (2014 IEEE International Electron Devices Meeting)

Their papers