Ammar Ahmad Awan

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 7 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 135 citations into it
• Computer Vision and Pattern Recognition — 75 citations into it
• Large Language Models — 50 citations into it
• Efficiency & Compression — 46 citations into it
• Model Architectures — 21 citations into it

Whom Ammar Ahmad Awan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Ilya Sutskever
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Kaiming He
9. Andrew Zisserman
10. Noam Shazeer

Who trusts Ammar Ahmad Awan overall

1. Yanghua Peng
2. Barret Zoph
3. Thijs Vogels
4. Young Jin Kim

Papers from Ammar Ahmad Awan's perspective

Ordered by how strongly the researchers Ammar Ahmad Awan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Scalable and Efficient MoE Training for Multitask Multilingual Models (2021) — 101 citations
• DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale (2022) — 591 citations
• DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale (2022) — 640 citations
• 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed (2021) — 111 citations
• Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? (2017) — 51 citations
• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (2024) — 2,340 citations
• High performance distributed deep learning: a beginner's guide (2019) — 9 citations