Faisal Ladhak

Computer Vision and Pattern Recognition · with Wang · 2013–2024

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

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Faisal Ladhak trusts overall

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

1. Honglak Lee
2. Andrew Y. Ng
3. Adam Coates
4. Gary B. Huang
5. Rajat Raina

Who trusts Faisal Ladhak overall

1. Zena M. Hira
2. Devinder Kumar
3. Mufti Mahmud
4. Christof Angermueller
5. Steven Guan
6. Shiwei Liu

Papers from Faisal Ladhak's perspective

Ordered by how strongly the researchers Faisal Ladhak 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. Gradient-based learning applied to document recognition
4. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
• Using deep learning to enhance cancer diagnosis and classication (2013) — 258 citations