Ashish Jaiswal

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 50 citations into it
• Representation & Self-Supervised Learning — 45 citations into it
• Optimization & Training — 5 citations into it

Whom Ashish Jaiswal trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Tomas Mikolov
10. Andrew Zisserman

Who trusts Ashish Jaiswal overall

1. Chengxi Zang
2. Yao-Hung Hubert Tsai
3. Haifeng Li
4. Fei Wang
5. Junliang Yu
6. Spyros Gidaris

Papers from Ashish Jaiswal's perspective

Ordered by how strongly the researchers Ashish Jaiswal 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Survey on Contrastive Self-supervised Learning (2020) — 1,772 citations