Terrance Liu
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Federated & Distributed Learning — 16 citations into it
- Optimization & Training — 16 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Computational Mechanics — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Terrance Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- H. Brendan McMahan
- Shai Shalev-Shwartz
- Alex Krizhevsky
- Leo Breiman
- Sepp Hochreiter
Who trusts Terrance Liu overall
Papers from Terrance Liu's perspective
Ordered by how strongly the researchers Terrance Liu 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Think Locally, Act Globally: Federated Learning with Local and Global Representations (2020) — 750 citations