Anas Awadalla
Artificial Intelligence · 2023
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 119 citations into it
- Computer Vision and Pattern Recognition — 92 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Anas Awadalla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Alec Radford
- Andrew Zisserman
Who trusts Anas Awadalla overall
- Zhang Li
- Hugo Laurençon
- Peng Jin
- Yueen Ma
- Runsen Xu
- Yuliang Liu
- Jiabo Ye
- Weihao Yu
- Jinbo Xing
- Kunchang Li
Papers from Anas Awadalla's perspective
Ordered by how strongly the researchers Anas Awadalla trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models (2023) — 642 citations
- Are aligned neural networks adversarially aligned? (2023) — 387 citations
- VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use (2023) — 111 citations