Saghar Hosseini
Artificial Intelligence · 2013–2023
A researcher in the Science corpus: 6 papers; trusts 93 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 200 citations into it; #25,001 of 35,345 by trust here, #1,878 by citations
- Natural Language Processing — 110 citations into it; #4,155 of 5,688 by trust here, #4,539 by citations
- Safety, Robustness & Interpretability — 61 citations into it
- Evaluation & Benchmarks — 35 citations into it
- Optimization & Training — 29 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Management Science and Operations Research — 10 citations into it; #11,796 of 11,946 by trust here, #9,383 by citations
- Computational Mechanics — 9 citations into it
Whom Saghar Hosseini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Shai Shalev-Shwartz
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Jieyu Zhao
- Kaiming He
Who trusts Saghar Hosseini overall
- Wenpeng Zhang
- Xiangru Lian
- Wendi Wu
- Peilin Zhao
- Banghao Chen
- Zhuang Li
- Mohammad Akbari
- Xinyun Chen
- Hugo Touvron
- Ahmed Elgohary
Papers from Saghar Hosseini's perspective
Ordered by how strongly the researchers Saghar Hosseini trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
- Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback (2020) — 81 citations
- Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer (2020) — 97 citations
- An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models (2023) — 31 citations
- Online distributed optimization via dual averaging (2013) — 150 citations
- Scaling Up Stochastic Dual Coordinate Ascent (2015) — 31 citations