Arthur Mensch
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 9 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 306 citations into it
- Computer Vision and Pattern Recognition — 190 citations into it
- Natural Language Processing — 89 citations into it
Whom Arthur Mensch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Kaiming He
- Yann LeCun
- Ashish Vaswani
- Jimmy Ba
Who trusts Arthur Mensch overall
Papers from Arthur Mensch's perspective
Ordered by how strongly the researchers Arthur Mensch trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
- Training Compute-Optimal Large Language Models (2022) — 3,535 citations
- Improving language models by retrieving from trillions of tokens (2021) — 1,785 citations
- Mistral 7B (2023) — 3,685 citations
- Unified Scaling Laws for Routed Language Models (2022) — 285 citations
- Self-conditioned Embedding Diffusion for Text Generation (2022) — 134 citations
- Mixtral of Experts (2024) — 2,015 citations
- Flamingo: a Visual Language Model for Few-Shot Learning (2022) — 6,220 citations
- An empirical analysis of compute-optimal large language model training (2022) — 516 citations