Vinh Q. Tran
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 12 papers; trusts 284 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 616 citations into it; #27,061 of 35,345 by trust here, #4,860 by citations
- Natural Language Processing — 400 citations into it; #5,147 of 5,688 by trust here, #1,443 by citations
- Computer Vision and Pattern Recognition — 258 citations into it
- Evaluation & Benchmarks — 180 citations into it
- Large Language Models — 166 citations into it
- Model Architectures — 75 citations into it
- Efficiency & Compression — 51 citations into it
- General Social Sciences — 17 citations into it
Whom Vinh Q. Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Shazeer
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Graves
- Jacob Devlin
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
Who trusts Vinh Q. Tran overall
Papers from Vinh Q. Tran's perspective
Ordered by how strongly the researchers Vinh Q. Tran trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- 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)
- Gradient-based learning applied to document recognition
Their papers
- UL2: Unifying Language Learning Paradigms (2022) — 395 citations
- ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (2021) — 240 citations
- Transcending Scaling Laws with 0.1% Extra Compute (2022) — 78 citations
- Charformer: Fast Character Transformers via Gradient-based Subword Tokenization (2021) — 213 citations
- Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? (2022) — 130 citations
- Transformer Memory as a Differentiable Search Index (2022) — 444 citations
- Confident Adaptive Language Modeling (2022) — 329 citations
- A New Generation of Perspective API: Efficient Multilingual Character-level Transformers (2022) — 306 citations
- Quiz-Style Question Generation for News Stories (2021) — 49 citations
- AgreeSum: Agreement-Oriented Multi-Document Summarization (2021) — 18 citations
- Recommender Systems with Generative Retrieval (2023) — 342 citations
- Unifying Language Learning Paradigms (2022) — 139 citations