Pranjal Kumar

Artificial Intelligence · 2024

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

• Artificial Intelligence — 34 citations into it
• Information Systems — 6 citations into it

Whom Pranjal Kumar trusts overall

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

1. Zohar Manna
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Yoshua Bengio
5. Michael I. Jordan
6. Diederik P. Kingma
7. Alex Krizhevsky
8. J. Urgen Schmidhuber
9. Ilya Sutskever
10. Kaiming He

Papers from Pranjal Kumar's perspective

Ordered by how strongly the researchers Pranjal Kumar 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. 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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Large language models (LLMs): survey, technical frameworks, and future challenges (2024) — 313 citations