Ivan Sekulic

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 18 citations into it
• Molecular Biology — 9 citations into it
• Model Architectures — 7 citations into it
• Graph Learning — 6 citations into it
• Information Extraction — 6 citations into it

Whom Ivan Sekulic trusts overall

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

1. Geoffrey E. Hinton
2. Christopher D. Manning
3. Yuhao Zhang
4. Vinod Nair
5. Yoshua Bengio
6. Jeffrey Pennington
7. Diederik P. Kingma
8. Jacob Devlin
9. Richard Socher
10. Ilya Sutskever

Papers from Ivan Sekulic's perspective

Ordered by how strongly the researchers Ivan Sekulic trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. GloVe: Global Vectors for Word Representation
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

• Reasoning with Latent Structure Refinement for Document-Level Relation Extraction (2020) — 323 citations