Hongtao Wu
Artificial Intelligence · with Li · 2023
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it
- Reinforcement Learning — 23 citations into it
- Control and Systems Engineering — 10 citations into it
Whom Hongtao Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Loshchilov
- Oier Mees
- Corey Lynch
- Geoffrey E. Hinton
- Pierre Sermanet
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Alec Radford
- Yoshua Bengio
Who trusts Hongtao Wu overall
Papers from Hongtao Wu's perspective
Ordered by how strongly the researchers Hongtao Wu 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation (2023) — 380 citations
- Vision-Language Foundation Models as Effective Robot Imitators (2023) — 418 citations