Pravesh Kothari

Artificial Intelligence · with Arora · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Pravesh Kothari trusts overall

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

  1. Daniel J. Hsu
  2. Kevin A. Lai
  3. Jacob Steinhardt
  4. Moses Charikar
  5. Sham M. Kakade
  6. Tengyu Ma
  7. Radosław Adamczak
  8. Ilias Diakonikolas
  9. Santosh Srinivas Vempala
  10. Anup B. Rao

Who trusts Pravesh Kothari overall

  1. Ilias Diakonikolas
  2. Michela Meister
  3. Jerry Zheng Li
  4. David Steurer
  5. David Chan
  6. Dmitry Kobak
  7. Gregory Valiant
  8. Weihao Kong
  9. Samuel B. Hopkins
  10. Alistair Stewart

Papers from Pravesh Kothari's perspective

Ordered by how strongly the researchers Pravesh Kothari 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers