Daniel Guo
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #18,668 of 35,345 by trust here, #12,387 by citations
- Reinforcement Learning — 70 citations into it
- Natural Language Processing — 11 citations into it
Whom Daniel Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- Andrew Y. Ng
- Yoshua Bengio
- Geoffrey E. Hinton
- Christopher D. Manning
- John D. Lafferty
- Christian Raymond
- Puyang Xu
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Daniel Guo overall
- Yilin Shen
- Young-Bum Kim
- Yu Wang
- Bing Liu
- Qian Chen
- Chih-Wen Goo
- Jan Deriu
- Hongxia Jin
- Ian Lane
- Xiangyu Zeng
Papers from Daniel Guo's perspective
Ordered by how strongly the researchers Daniel Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Agent57: Outperforming the Atari Human Benchmark (2020) — 594 citations
- Never Give Up: Learning Directed Exploration Strategies (2020) — 360 citations
- Joint semantic utterance classification and slot filling with recursive neural networks (2014) — 169 citations