Nikhil Ghosh

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Large Language Models — 8 citations into it

Whom Nikhil Ghosh trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alec Radford
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ilya Sutskever
9. L. Eon Bottou
10. X. Zhang

Papers from Nikhil Ghosh's perspective

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

Their papers

• LoRA+: Efficient Low Rank Adaptation of Large Models (2024) — 442 citations