Antonio Casañez-Ventura

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 10 citations into it

Whom Antonio Casañez-Ventura trusts overall

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

1. Corinna Cortes
2. Jeremy Howard
3. Tomas Mikolov
4. Ashima Yadav
5. Armand Joulin
6. Yoshua Bengio
7. Alec Radford
8. Geoffrey E. Hinton
9. Sara Rosenthal
10. Ilya Sutskever

Papers from Antonio Casañez-Ventura's perspective

Ordered by how strongly the researchers Antonio Casañez-Ventura 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Unsupervised Multitask Learners

Their papers

• A review on sentiment analysis from social media platforms (2023) — 324 citations