Kaiji Lu
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #16,858 of 35,345 by trust here, #10,566 by citations
- Natural Language Processing — 29 citations into it; #2,981 of 5,688 by trust here, #2,307 by citations
- Model Architectures — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Kaiji Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kevin Clark
- Sepp Hochreiter
- Ilya Sutskever
- Geoffrey E. Hinton
- Karen Simonyan
- Christopher D. Manning
- Yoshua Bengio
- Alex Graves
- Oriol Vinyals
- J. Urgen Schmidhuber
Who trusts Kaiji Lu overall
- Emily Sheng
- Jesse Vig
- Kai-Wei Chang
- Yusu Qian
- Sunipa Dev
- Divyansh Kaushik
- Danielle Saunders
- Angelina Wang
- Zexue He
- Premkumar Natarajan
Papers from Kaiji Lu's perspective
Ordered by how strongly the researchers Kaiji Lu 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Gender Bias in Neural Natural Language Processing (2018) — 408 citations
- Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models (2020) — 10 citations