Yujia Xie
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 9 papers; trusts 249 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 201 citations into it
- Computer Vision and Pattern Recognition — 187 citations into it
- Multimodal Learning — 64 citations into it
- Natural Language Processing — 59 citations into it
- Evaluation & Benchmarks — 45 citations into it
- Optimization & Training — 26 citations into it
- Generative Models — 11 citations into it
- Numerical Analysis — 11 citations into it
Whom Yujia Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Diederik P. Kingma
- R. Tyrrell Rockafellar
- Ilya Sutskever
- L. Eon Bottou
Who trusts Yujia Xie overall
- Zhenyi Wang
- Wonjae Kim
- Hongteng Xu
- Xiaoyang Wang
- Jianfeng Wang
- Hongwei Xue
- Xiao Wang
- Bang An
- Bokyung Son
- Zhe Gan
Papers from Yujia Xie's perspective
Ordered by how strongly the researchers Yujia Xie trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback (2023) — 530 citations
- K-LITE: Learning Transferable Visual Models with External Knowledge (2022) — 107 citations
- REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering (2022) — 115 citations
- DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models (2023) — 397 citations
- Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning (2022) — 31 citations
- Differentiable Top-k with Optimal Transport (2020) — 114 citations
- A Fast Proximal Point Method for Computing Exact Wasserstein Distance (2018) — 171 citations
- A Fast Proximal Point Method for Wasserstein Distance (2018) — 38 citations
- A Fast Proximal Point Method for Computing Wasserstein Distance (2018) — 18 citations