Nilesh Tripuraneni

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 6 papers; trusts 78 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Nilesh Tripuraneni trusts overall

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

  1. Yurii E. Nesterov
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. R. Caruana
  6. Andreas Maurer
  7. James Martens
  8. Rong Ge
  9. Alex Krizhevsky
  10. Joel A. Tropp

Who trusts Nilesh Tripuraneni overall

  1. Zeyuan Allen-Zhu
  2. Liam Collins
  3. Yingcong Li
  4. Yu Huang
  5. Hamed Hassani
  6. Daniel Lévy
  7. Minghao Gu
  8. Xiang Li
  9. Sang Michael Xie
  10. Binghui Peng

Papers from Nilesh Tripuraneni's perspective

Ordered by how strongly the researchers Nilesh Tripuraneni 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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