Gowthami Somepalli
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 204 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it
- Computer Vision and Pattern Recognition — 73 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
- Optimization & Training — 10 citations into it
Whom Gowthami Somepalli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Christian Szegedy
- Ilya Sutskever
- Andrew Zisserman
Who trusts Gowthami Somepalli overall
- Léo Grinsztajn
- Vadim Borisov
- Noah Hollmann
- Bernhard Schäfl
- Shilin Lu
- Nupur Kumari
- Duncan C. McElfresh
- Edouard Oyallon
- Randall Balestriero
- Rohit Gandikota
Papers from Gowthami Somepalli's perspective
Ordered by how strongly the researchers Gowthami Somepalli 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models (2022) — 505 citations
- SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training (2021) — 556 citations
- Baseline Defenses for Adversarial Attacks Against Aligned Language Models (2023) — 743 citations