Arjun Krishnakumar

Artificial Intelligence · 2025

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

Subfields

Whom Arjun Krishnakumar trusts overall

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

  1. Noam Shazeer

Papers from Arjun Krishnakumar's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Understanding the difficulty of training deep feedforward neural networks
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. SGDR: Stochastic Gradient Descent with Warm Restarts
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers