Vlad Pandelea

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 215 citations into it
• Natural Language Processing — 144 citations into it
• Computer Vision and Pattern Recognition — 74 citations into it
• Reinforcement Learning — 26 citations into it
• Model Architectures — 23 citations into it
• Signal Processing — 6 citations into it

Whom Vlad Pandelea trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Oriol Vinyals
7. Yann LeCun
8. Ronald J. Williams
9. Kaiming He
10. Alex Graves

Papers from Vlad Pandelea's perspective

Ordered by how strongly the researchers Vlad Pandelea 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. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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

• Recent advances in deep learning based dialogue systems: a systematic survey (2021) — 352 citations