Suvansh Sanjeev

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Suvansh Sanjeev trusts overall

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

  1. J. Urgen Schmidhuber
  2. Sergey Levine
  3. John Schulman
  4. Pieter Abbeel
  5. E. Todorov
  6. Geoffrey E. Hinton
  7. Chelsea Finn

Papers from Suvansh Sanjeev's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  8. ImageNet: A large-scale hierarchical image database
  9. Proximal Policy Optimization Algorithms (arXiv.org)
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers