Zhenzhen Weng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 23 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Zhenzhen Weng trusts overall

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

1. Alexander J. Ratner
2. R. Caruana
3. Kaiming He
4. Geoffrey E. Hinton
5. Sebastian Ruder
6. Alex Wang
7. Yoshua Bengio
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yann LeCun

Papers from Zhenzhen Weng's perspective

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

Their papers

• Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices (2019) — 56 citations