Belinda Zeng
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it
- Computer Vision and Pattern Recognition — 67 citations into it
Whom Belinda Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Belinda Zeng's perspective
Ordered by how strongly the researchers Belinda Zeng trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Microsoft COCO: Common Objects in Context
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Vision-Language Pre-Training with Triple Contrastive Learning (2022) — 392 citations
- Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE (2021) — 33 citations