Yida Wang
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Natural Language Processing — 48 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Large Language Models — 23 citations into it
- Model Architectures — 10 citations into it
Whom Yida Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Alec Radford
- Geoffrey E. Hinton
- Kyunghyun Cho
- Dzmitry Bahdanau
- Diederik P. Kingma
- Oriol Vinyals
- Alex Krizhevsky
- Christopher D. Manning
Who trusts Yida Wang overall
Papers from Yida Wang's perspective
Ordered by how strongly the researchers Yida Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud (2022) — 57 citations
- EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training (2021) — 58 citations
- A Large-Scale Chinese Short-Text Conversation Dataset (2020) — 151 citations