C. VishakPrasad

Artificial Intelligence · 2023

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 C. VishakPrasad trusts overall

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

  1. Jerome H. Friedman

Papers from C. VishakPrasad's perspective

Ordered by how strongly the researchers C. VishakPrasad 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. Attention is All you Need (Neural Information Processing Systems)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. XGBoost: A Scalable Tree Boosting System
  8. Greedy function approximation: A gradient boosting machine.
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers