Lingfei Deng
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 155 citations into it; #30,846 of 35,345 by trust here, #34,213 by citations
- Computer Vision and Pattern Recognition — 113 citations into it; #18,938 of 21,575 by trust here, #21,103 by citations
- Representation & Self-Supervised Learning — 63 citations into it
- Meta & Continual Learning — 18 citations into it
- Natural Language Processing — 12 citations into it
- Signal Processing — 10 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Cognitive Neuroscience — 7 citations into it
Whom Lingfei Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Mingsheng Long
- Diederik P. Kingma
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Radford M. Neal
Who trusts Lingfei Deng overall
Papers from Lingfei Deng's perspective
Ordered by how strongly the researchers Lingfei Deng 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
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Survey on Negative Transfer (2020) — 375 citations
- Overcoming Negative Transfer: A Survey (2020) — 53 citations