David W. Nellans

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Hardware and Architecture — 13 citations into it
• Computer Networks and Communications — 12 citations into it
• Optimization & Training — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom David W. Nellans trusts overall

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

1. Sunpyo Hong
2. Yakun Sophia Shao

Papers from David W. Nellans's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Microsoft COCO: Common Objects in Context
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Rethinking the Inception Architecture for Computer Vision
7. Caffe: Convolutional Architecture for Fast Feature Embedding
8. Going deeper with convolutions
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Understanding the Future of Energy Efficiency in Multi-Module GPUs (2019) — 43 citations
• Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs (2019) — 65 citations