David Farhi
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
Whom David Farhi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Farhi's perspective
Ordered by how strongly the researchers David Farhi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Understanding the difficulty of training deep feedforward neural networks
Their papers
- Dota 2 with Large Scale Deep Reinforcement Learning (2019) — 2,179 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (2022) — 295 citations
- Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (2021) — 177 citations