Harit Vishwakarma

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Federated & Distributed Learning — 26 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 16 citations into it

Whom Harit Vishwakarma trusts overall

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

1. Alex Krizhevsky
2. Xiaojin Zhu
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Sepp Hochreiter
6. Yoshua Bengio
7. Yann LeCun

Papers from Harit Vishwakarma's perspective

Ordered by how strongly the researchers Harit Vishwakarma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Attack of the Tails: Yes, You Really Can Backdoor Federated Learning (2020) — 829 citations