Canwen Xu

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 15 papers; trusts 430 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 487 citations into it; #17,219 of 35,345 by trust here, #1,016 by citations
• Natural Language Processing — 321 citations into it
• Computer Vision and Pattern Recognition — 176 citations into it; #21,251 of 21,575 by trust here, #13,269 by citations
• Large Language Models — 174 citations into it; #418 of 799 by trust here, #138 by citations
• Evaluation & Benchmarks — 130 citations into it
• Efficiency & Compression — 107 citations into it; #799 of 1,264 by trust here, #673 by citations
• Model Architectures — 70 citations into it
• Information Systems — 53 citations into it

Whom Canwen Xu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Alex Graves
9. Jacob Devlin
10. Quoc V. Le

Who trusts Canwen Xu overall

1. Wangchunshu Zhou
2. James Lee-Thorp
3. Xipeng Qiu
4. Julian McAuley
5. Anna Rogers
6. Eric Michael Smith
7. Wenhui Wang
8. Tao Ge
9. Ji Xin
10. J. Ainslie

Papers from Canwen Xu's perspective

Ordered by how strongly the researchers Canwen Xu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
• HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019) — 4,184 citations
• PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
• BERT-of-Theseus: Compressing BERT by Progressive Module Replacing (2020) — 228 citations
• BERT Loses Patience: Fast and Robust Inference with Early Exit (2020) — 447 citations
• Datasets: A Community Library for Natural Language Processing (2021) — 775 citations
• Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression (2021) — 47 citations
• StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
• LongCoder: A Long-Range Pre-trained Language Model for Code Completion (2023) — 166 citations
• RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems (2023) — 404 citations
• A Survey on Dynamic Neural Networks for Natural Language Processing (2022) — 35 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
• Multitask Prompted Training Enables Zero-Shot Task Generalization (2022) — 242 citations
• Transformers: State-of-the-Art Natural Language Processing (2020) — 24 citations
• HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019)