Antonio Matinata

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Knowledge Graphs & Representation — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Information Systems — 7 citations into it

Whom Antonio Matinata trusts overall

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

1. Maximilian Nickel
2. Ni Lao
3. Kristina Toutanova
4. Yann LeCun
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Tomas Mikolov
8. Ray R. Larson
9. Luis Galárraga
10. Antoine Bordes

Papers from Antonio Matinata's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Efficient Estimation of Word Representations in Vector Space
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Knowledge Graph Embedding for Link Prediction (2020) — 415 citations