Daiyaan Arfeen

Artificial Intelligence · 2019–2023

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

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it

Whom Daiyaan Arfeen trusts overall

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

1. Yoshua Bengio
2. Christian Szegedy
3. Kaiming He

Who trusts Daiyaan Arfeen overall

1. Zi-Mei Yao

Papers from Daiyaan Arfeen's perspective

Ordered by how strongly the researchers Daiyaan Arfeen 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. Microsoft COCO: Common Objects in Context
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks (2019) — 394 citations
• SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification (2023) — 395 citations