Sahil Verma

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Sahil Verma trusts overall

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

  1. Amir-Hossein Karimi
  2. Carl Doersch
  3. Tim Miller
  4. Ryan D. Turner
  5. Shubham Rathi
  6. Chris Russell
  7. Razieh Nabi
  8. Sandra Wachter
  9. Geoffrey E. Hinton
  10. Arnaud Van Looveren

Who trusts Sahil Verma overall

  1. Emilio Ferrara
  2. Dana Pessach
  3. Ninareh Mehrabi
  4. Erez Shmueli
  5. Kimmo Kärkkäinen
  6. Bo Li
  7. Sarah Wiegreffe
  8. Ali Borji
  9. Shira Mitchell
  10. Vasileios Iosifidis

Papers from Sahil Verma's perspective

Ordered by how strongly the researchers Sahil Verma 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers