D. Mazur

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Efficiency & Compression — 21 citations into it
• Large Language Models — 18 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom D. Mazur trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tim Dettmers
2. Elias Frantar
3. Michael I. Jordan
4. Robert A. Jacobs
5. Geoffrey E. Hinton
6. Noam Shazeer

Papers from D. Mazur's perspective

Ordered by how strongly the researchers D. Mazur trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast Inference of Mixture-of-Experts Language Models with Offloading (2023) — 97 citations