Anthony Meng Huat Tiong
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it
- Computer Vision and Pattern Recognition — 66 citations into it
- Multimodal Learning — 46 citations into it
- Large Language Models — 28 citations into it
- Natural Language Processing — 17 citations into it
Whom Anthony Meng Huat Tiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Alex Graves
- Oriol Vinyals
Who trusts Anthony Meng Huat Tiong overall
Papers from Anthony Meng Huat Tiong's perspective
Ordered by how strongly the researchers Anthony Meng Huat Tiong 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning (2023) — 3,705 citations
- Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training (2022) — 141 citations