Amos Azaria
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 5 papers; trusts 106 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it; #15,515 of 35,345 by trust here, #17,412 by citations
- Natural Language Processing — 71 citations into it; #4,544 of 5,688 by trust here, #5,593 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #17,027 of 21,575 by trust here, #21,103 by citations
- Information Retrieval & Search — 8 citations into it
- Large Language Models — 7 citations into it
Whom Amos Azaria trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Luke S. Zettlemoyer
- Yoshua Bengio
- Geoffrey E. Hinton
- David L. Chen
- Jason Aaron Edward Weston
- Ilya Sutskever
- Alex Krizhevsky
- Oriol Vinyals
- Michael Collins
Who trusts Amos Azaria overall
- Samuel Marks
- Vipula Rawte
- David Glukhov
- Chao Chen
- Max Tegmark
- Amit P. Sheth
- Forough Arabshahi
- Adam Badawy
- Ilia Shumailov
- Emilio Ferrara
Papers from Amos Azaria's perspective
Ordered by how strongly the researchers Amos Azaria 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Instructable Intelligent Personal Agent (2016) — 85 citations
- The Internal State of an LLM Knows When its Lying (2023) — 728 citations
- Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds (2018) — 14 citations
- Conversational Neuro-Symbolic Commonsense Reasoning (2020) — 54 citations
- The DARPA Twitter Bot Challenge (2016) — 408 citations