Trung Bui
Artificial Intelligence · with Dernoncourt · 2018–2023
A researcher in the Science corpus: 5 papers; trusts 196 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 159 citations into it; #17,259 of 35,345 by trust here, #9,275 by citations
- Natural Language Processing — 123 citations into it; #3,037 of 5,688 by trust here, #2,172 by citations
- Computer Vision and Pattern Recognition — 55 citations into it
- Large Language Models — 36 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Multimodal Learning — 17 citations into it
- Model Architectures — 16 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Trung Bui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
- Ilya Sutskever
- Alex Krizhevsky
- Sepp Hochreiter
- Yann LeCun
- Alex Graves
Who trusts Trung Bui overall
Papers from Trung Bui's perspective
Ordered by how strongly the researchers Trung Bui 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents (2018) — 950 citations
- Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks? (2020) — 129 citations
- History for Visual Dialog: Do we really need it? (2020) — 77 citations
- ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning (2023) — 415 citations
- Factual Error Correction for Abstractive Summaries Using Entity Retrieval (2022) — 15 citations