Hadi Pouransari

Computer Vision and Pattern Recognition · 2014–2024

A researcher in the Science corpus: 6 papers; trusts 848 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 207 citations into it
• Artificial Intelligence — 204 citations into it
• Representation & Self-Supervised Learning — 57 citations into it
• Efficiency & Compression — 48 citations into it
• Optimization & Training — 45 citations into it
• Evaluation & Benchmarks — 39 citations into it
• Model Architectures — 28 citations into it
• Safety, Robustness & Interpretability — 13 citations into it

Whom Hadi Pouransari trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Diederik P. Kingma
8. Ross B. Girshick
9. Christian Szegedy
10. Karen Simonyan

Papers from Hadi Pouransari's perspective

Ordered by how strongly the researchers Hadi Pouransari 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution (2020) — 5 citations
• DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations
• Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement (2023) — 16 citations
• TiC-CLIP: Continual Training of CLIP Models (2023) — 52 citations
• Forward Compatible Training for Large-Scale Embedding Retrieval Systems (2021) — 25 citations
• Tiny ImageNet Visual Recognition Challenge (2014) — 90 citations