R. Vuduc

Hardware and Architecture · 2003–2018

A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom R. Vuduc trusts overall

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

  1. Eun-Jin Im
  2. Iain S. Duff
  3. Vladimir Naumovich Vapnik
  4. George Karypis
  5. Taher H. Haveliwala
  6. Alex Smola
  7. K. Yelick
  8. J. Demmel
  9. Sepandar D. Kamvar
  10. Derek Bruening

Who trusts R. Vuduc overall

  1. Samuel Williams
  2. JeeWhan Choi
  3. J. Demmel
  4. Jason Ansel
  5. Shoaib Kamil
  6. Aydin Buluç
  7. Leonid Oliker
  8. Weifeng Liu
  9. K. Yelick
  10. John M. Shalf

Papers from R. Vuduc's perspective

Ordered by how strongly the researchers R. Vuduc 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers