Amanuel Alambo
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #28,500 of 35,345 by trust here, #30,347 by citations
- Natural Language Processing — 11 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Amanuel Alambo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Richard Socher
- Yoon Kim
- Jeffrey Pennington
- C. L. Ventola
- Ugur Kursuncu
- Manas Gaur
- Geoffrey E. Hinton
- M. de Choudhury
- Ilya Sutskever
Who trusts Amanuel Alambo overall
Papers from Amanuel Alambo's perspective
Ordered by how strongly the researchers Amanuel Alambo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GloVe: Global Vectors for Word Representation
- Efficient Estimation of Word Representations in Vector Space
- ImageNet: A large-scale hierarchical image database
Their papers
- "Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention (2018) — 112 citations
- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention (2019) — 223 citations
- Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions (2019) — 62 citations