Lei Lyu
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
Whom Lei Lyu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)
- Jimmy Ba (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Tomas Mikolov (in Artificial Intelligence)
- Reuven Y. Rubinstein (in Optimization & Training)
- Quoc V. Le (in Artificial Intelligence)
Papers from Lei Lyu's perspective
Ordered by how strongly the researchers Lei Lyu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Representation Learning with Contrastive Predictive Coding
- Gradient-based learning applied to document recognition
- Dimensionality Reduction by Learning an Invariant Mapping
Their papers
- HELoC: Hierarchical Contrastive Learning of Source Code Representation (2022) — 27 citations