Naser Ahmadi
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #24,589 of 35,345 by trust here, #26,682 by citations
- Natural Language Processing — 31 citations into it; #4,106 of 5,688 by trust here, #4,793 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Information Systems — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Graph Learning — 10 citations into it
- Knowledge Graphs & Representation — 10 citations into it; #172 of 226 by trust here, #201 by citations
- Management Science and Operations Research — 8 citations into it
Whom Naser Ahmadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefano Ortona
- Joohyung Lee
- Percy Liang
- Richard Socher
- Antoine Bordes
- Geoffrey E. Hinton
- Yoshua Bengio
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Luis Galárraga
Who trusts Naser Ahmadi overall
Papers from Naser Ahmadi's perspective
Ordered by how strongly the researchers Naser Ahmadi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- RuleHub (2020) — 10 citations
- RuleBERT: Teaching Soft Rules to Pre-Trained Language Models (2021) — 37 citations
- Explainable Fact Checking with Probabilistic Answer Set Programming (2019) — 59 citations
- Rising rural body-mass index is the main driver of the global obesity epidemic in adults (2019) — 617 citations