Soheil Feizi
Artificial Intelligence · 2012–2023
A researcher in the Science corpus: 11 papers; trusts 359 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 197 citations into it; #18,256 of 35,345 by trust here, #11,750 by citations
- Safety, Robustness & Interpretability — 121 citations into it; #1,126 of 2,251 by trust here, #1,009 by citations
- Computer Vision and Pattern Recognition — 93 citations into it
- Optimization & Training — 25 citations into it
- Natural Language Processing — 23 citations into it
- Signal Processing — 20 citations into it
- Generative Models — 17 citations into it
- Model Architectures — 13 citations into it
Whom Soheil Feizi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Diederik P. Kingma
- Ilya Sutskever
- Christian Szegedy
- Ian J. Goodfellow
Who trusts Soheil Feizi overall
Papers from Soheil Feizi's perspective
Ordered by how strongly the researchers Soheil Feizi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Compressing GANs using Knowledge Distillation (2019) — 87 citations
- Influence Functions in Deep Learning Are Fragile (2020) — 327 citations
- Can AI-Generated Text be Reliably Detected? (2023) — 604 citations
- Adversarially Robust Distillation (2019) — 270 citations
- Integrative analysis of 111 reference human epigenomes (2015) — 6,046 citations
- Certifying LLM Safety against Adversarial Prompting (2023) — 333 citations
- Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation (2020) — 132 citations
- Certifiably Robust Interpretation in Deep Learning (2019) — 65 citations
- Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation (2019) — 63 citations
- Are adversarial examples inevitable? (2018) — 305 citations
- Rapid dissection and model-based optimization of inducible enhancers in human cells using a massively parallel reporter assay (2012) — 377 citations