Tao Meng
Artificial Intelligence · with Chang · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #30,784 of 35,345 by trust here, #24,417 by citations
- Natural Language Processing — 28 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it; #18,916 of 21,575 by trust here, #18,782 by citations
- Safety, Robustness & Interpretability — 11 citations into it
Whom Tao Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Mark Yatskar
- Geoffrey E. Hinton
- Jieyu Zhao
- Jimmy Ba
- Yoshua Bengio
- Tianlu Wang
- Alex Krizhevsky
- Karen Simonyan
- Joy Buolamwini
Who trusts Tao Meng overall
Papers from Tao Meng's perspective
Ordered by how strongly the researchers Tao Meng trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Mitigating Gender Bias Amplification in Distribution by Posterior Regularization (2020) — 46 citations
- On the Paradox of Learning to Reason from Data (2022) — 145 citations