Shivam Goel

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shivam Goel trusts overall

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

  1. Jörg Hoffmann
  2. John Schulman
  3. Khimya Khetarpal
  4. Richard S. Sutton
  5. Bernhard Nebel
  6. Matthew Riemer
  7. Filip Wolski
  8. Andrew Barto

Papers from Shivam Goel's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Proximal Policy Optimization Algorithms (arXiv.org)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers