Hamed Firooz

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 274 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 127 citations into it; #31,059 of 35,345 by trust here, #9,870 by citations
• Computer Vision and Pattern Recognition — 112 citations into it; #19,091 of 21,575 by trust here, #6,954 by citations
• Multimodal Learning — 79 citations into it; #1,024 of 1,211 by trust here, #583 by citations
• Natural Language Processing — 61 citations into it
• Representation & Self-Supervised Learning — 37 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Large Language Models — 14 citations into it
• Model Architectures — 10 citations into it

Whom Hamed Firooz trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Shaoqing Ren
10. Jimmy Ba

Who trusts Hamed Firooz overall

1. Phillip Lippe
2. Alon Y. Halevy
3. Michael Sollami

Papers from Hamed Firooz's perspective

Ordered by how strongly the researchers Hamed Firooz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes (2020) — 939 citations
• Supervised Multimodal Bitransformers for Classifying Images and Text (2019) — 320 citations
• A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision (2021) — 23 citations