Eric J. Zhang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Generative Models — 25 citations into it

Whom Eric J. Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Jonathan Ho
6. Kaiming He
7. Alex Nichol
8. Ilya Sutskever
9. Prafulla Dhariwal
10. Jacob Devlin

Who trusts Eric J. Zhang overall

1. Shilin Lu
2. Rohit Gandikota

Papers from Eric J. Zhang's perspective

Ordered by how strongly the researchers Eric J. Zhang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models (2023) — 339 citations