Siming Ma

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siming Ma trusts overall

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

  1. Alex Krizhevsky

Papers from Siming Ma's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Learning Multiple Layers of Features from Tiny Images
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. In-datacenter performance analysis of a tensor processing unit
  5. EIE: Efficient Inference Engine on Compressed Deep Neural Network
  6. Compressing Deep Convolutional Networks using Vector Quantization
  7. DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning
  8. ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
  9. Deep Learning with Limited Numerical Precision
  10. NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems)

Their papers