Samyak Gupta

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Optimization & Training — 7 citations into it
• Privacy & Security — 7 citations into it

Whom Samyak Gupta trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Sergey Ioffe
6. Yoshua Bengio
7. Li Deng
8. Christian Szegedy
9. Yann LeCun
10. Jimmy Ba

Papers from Samyak Gupta's perspective

Ordered by how strongly the researchers Samyak Gupta 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation (2023) — 525 citations
• Evaluating Gradient Inversion Attacks and Defenses in Federated Learning (2021) — 391 citations