Daya Shanker Khudia

Computer Networks and Communications · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 7 citations into it
• Hardware and Architecture — 7 citations into it

Whom Daya Shanker Khudia trusts overall

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

1. Kazushige Goto
2. R. V. D. Geijn
3. Benoit Jacob

Who trusts Daya Shanker Khudia overall

1. Tim Dettmers
2. Mitchell Wortsman

Papers from Daya Shanker Khudia's perspective

Ordered by how strongly the researchers Daya Shanker Khudia 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference (2021) — 69 citations
• Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale (2021) — 14 citations
• Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications (2018) — 205 citations