Besnik Fetahu
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Natural Language Processing — 23 citations into it; #5,372 of 5,688 by trust here, #4,879 by citations
- Representation & Self-Supervised Learning — 12 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
Whom Besnik Fetahu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Trevor J. Hastie
- Dong C. Liu
- John D. Lafferty
- Jeffrey Pennington
- Geoffrey E. Hinton
- Leo Breiman
- Yoshua Bengio
- Richard Socher
- Tomas Mikolov
- Diederik P. Kingma
Who trusts Besnik Fetahu overall
Papers from Besnik Fetahu's perspective
Ordered by how strongly the researchers Besnik Fetahu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability (2019) — 53 citations
- Debiasing Word Embeddings from Sentiment Associations in Names (2020) — 9 citations
- Fine Grained Citation Span for References in Wikipedia (2017) — 9 citations