Lila Boualili

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Information Retrieval & Search — 12 citations into it
• Information Systems — 5 citations into it

Whom Lila Boualili trusts overall

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

1. Rodrigo Nogueira
2. Wei Yang
3. Kyunghyun Cho
4. Bhaskar Mitra
5. Jacob Devlin
6. Chenyan Xiong
7. Jiafeng Guo
8. Ashish Vaswani
9. Harshith Padigela
10. Geoffrey E. Hinton

Papers from Lila Boualili's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• MarkedBERT: Integrating Traditional IR Cues in Pre-trained Language Models for Passage Retrieval (2020) — 28 citations