Faeze Brahman
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 5 papers; trusts 153 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 179 citations into it; #24,529 of 35,345 by trust here, #16,166 by citations
- Natural Language Processing — 144 citations into it; #4,022 of 5,688 by trust here, #2,605 by citations
- Computer Vision and Pattern Recognition — 56 citations into it
- Evaluation & Benchmarks — 42 citations into it
- Prompting & Reasoning — 30 citations into it; #193 of 359 by trust here, #271 by citations
- Safety, Robustness & Interpretability — 19 citations into it
Whom Faeze Brahman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Chin-Yew Lin
- Tomas Mikolov
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
Who trusts Faeze Brahman overall
Papers from Faeze Brahman's perspective
Ordered by how strongly the researchers Faeze Brahman 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
- 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)
- Gradient-based learning applied to document recognition
Their papers
- Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations (2022) — 237 citations
- Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision (2020) — 46 citations
- Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model (2023) — 39 citations
- Generating Sequences by Learning to Self-Correct (2022) — 352 citations
- REV: Information-Theoretic Evaluation of Free-Text Rationales (2022) — 30 citations