Yasaman Razeghi
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it; #34,295 of 35,345 by trust here, #9,557 by citations
- Natural Language Processing — 46 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Prompting & Reasoning — 11 citations into it; #337 of 359 by trust here, #198 by citations
Whom Yasaman Razeghi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Richard Socher
- Kaiming He
- Yann LeCun
- Alec Radford
- Eric Wallace
Who trusts Yasaman Razeghi overall
- Alex Troy Mallen
- Sang Michael Xie
- Jason Wei
- Stella Biderman
- Stephanie C. Y. Chan
- Akari Asai
- Adi Haviv
- Percy Liang
- Jaemin Cho
- Kaiyang Zhou
Papers from Yasaman Razeghi's perspective
Ordered by how strongly the researchers Yasaman Razeghi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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
- Impact of Pretraining Term Frequencies on Few-Shot Reasoning (2022) — 185 citations
- Eliciting Knowledge from Language Models Using Automatically Generated Prompts (2020) — 559 citations
- Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance (2022) — 5 citations