Sijia Wang

Computer Vision and Pattern Recognition · with Carin · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 59 citations into it; #32,528 of 35,345 by trust here, #15,004 by citations
• Generative Models — 32 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Meta & Continual Learning — 13 citations into it

Whom Sijia Wang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Yann LeCun
7. Sergey Ioffe
8. Ilya Sutskever
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Sijia Wang overall

1. Cynthia Rudin

Papers from Sijia Wang's perspective

Ordered by how strongly the researchers Sijia Wang 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 Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• GAN Memory with No Forgetting (2020) — 151 citations
• An Interpretable Model with Globally Consistent Explanations for Credit Risk (2018) — 104 citations