Thanh-Le Ha
Natural Language Processing · 2014–2019
A researcher in the Science corpus: 7 papers; trusts 184 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 94 citations into it; #1,222 of 5,688 by trust here, #1,955 by citations
- Artificial Intelligence — 89 citations into it; #5,456 of 35,345 by trust here, #8,283 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #4,783 of 21,575 by trust here, #6,795 by citations
- Model Architectures — 20 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Optimization & Training — 10 citations into it
Whom Thanh-Le Ha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Franz Joseph Och
- Dzmitry Bahdanau
- Kyunghyun Cho
- Sepp Hochreiter
- Jimmy Ba
Who trusts Thanh-Le Ha overall
- Jan Niehues
- Ngoc-Quan Pham
- Felix Stahlberg
- Graham Neubig
- Nima Pourdamghani
- Biao Zhang
- Roee Aharoni
- Naveen Arivazhagan
- Surangika Ranathunga
- Isaac Caswell
Papers from Thanh-Le Ha's perspective
Ordered by how strongly the researchers Thanh-Le Ha 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder (2016) — 301 citations
- Pre-Translation for Neural Machine Translation (2016) — 94 citations
- Improving Zero-shot Translation with Language-Independent Constraints (2019) — 65 citations
- Effective Strategies in Zero-Shot Neural Machine Translation (2017) — 39 citations
- The Karlsruhe Institute of Technology Translation Systems for the WMT 2014 (2014) — 11 citations
- The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018 (2018) — 10 citations
- The Karlsruhe Institute of Technology Translation Systems for the WMT 2015 (2015) — 8 citations