Rina Panigrahy

Artificial Intelligence · 2003–2017

A researcher in the Science corpus: 10 papers; trusts 33 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Rina Panigrahy trusts overall

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

  1. Yoshua Bengio
  2. Rong Ge
  3. Geoffrey E. Hinton
  4. Yuchen Zhang
  5. Ju Sun
  6. Sanjeev Arora
  7. Alex Krizhevsky
  8. Shai Shalev-Shwartz
  9. Jason D. Lee
  10. Yann LeCun

Who trusts Rina Panigrahy overall

  1. Samet Oymak
  2. Zeyuan Allen-Zhu
  3. S. Muthu Muthukrishnan
  4. Yuanzhi Li
  5. Majid Janzamin
  6. Shiyu Liang
  7. Amit Daniely
  8. Sheng Wang
  9. Prateek Jain
  10. Santosh Srinivas Vempala

Papers from Rina Panigrahy's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers