Ranjan Sapkota

Large Language Models · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ranjan Sapkota trusts overall

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

  1. Alec Radford
  2. John Edwin Laird
  3. Shunyu Yao
  4. Karthik Narasimhan
  5. Noah Shinn
  6. Jason Wei
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Ilya Sutskever

Papers from Ranjan Sapkota's perspective

Ordered by how strongly the researchers Ranjan Sapkota 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers