Amr Sharaf
Artificial Intelligence · 2015–2024
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #34,538 of 35,345 by trust here, #15,542 by citations
- Computer Vision and Pattern Recognition — 25 citations into it; #15,871 of 21,575 by trust here, #10,500 by citations
- Natural Language Processing — 16 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Amr Sharaf trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Victoria Bloom
- Chih-Jen Lin
- Leo Breiman
- Aixia Guo
- Corinna Cortes
- Isabelle M Guyon
- Trevor J. Hastie
- Wanqing Li
- Mihai Zanfir
- Jiajia Luo
Who trusts Amr Sharaf overall
- Jun Liu
- Yanghao Li
- Seungryul Baek
- Djamila Romaissa Beddiar
- Amir Shahroudy
- Chunhui Liu
- G. Wang
- Tae-Kyun Kim
- Kwang In Kim
- Brahim Nini
Papers from Amr Sharaf's perspective
Ordered by how strongly the researchers Amr Sharaf trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation (2024) — 477 citations
- Real-Time Multi-scale Action Detection from 3D Skeleton Data (2015) — 56 citations
- How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation (2023) — 603 citations