Jiaxin Wen

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 41 citations into it

Whom Jiaxin Wen trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Alec Radford
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Ilya Sutskever
8. Ashish Vaswani

Papers from Jiaxin Wen's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Language Models are Unsupervised Multitask Learners
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training (2022) — 60 citations