Eric Chu
Artificial Intelligence · with Li · 2018–2023
A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 133 citations into it
- Natural Language Processing — 73 citations into it; #1,704 of 5,688 by trust here, #4,539 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Model Architectures — 9 citations into it
- Generative Models — 6 citations into it
Whom Eric Chu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ilya Sutskever
- Ronald J. Williams
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoon Kim
- Yoshua Bengio
- Tomas Mikolov
- Jimmy Ba
- Marc'Aurelio Ranzato
Who trusts Eric Chu overall
- Alexander R. Fabbri
- Mirella Lapata
- Yang Liu
- Reinald Kim Amplayo
- Peter J. Liu
- Masaru Isonuma
- Arthur Bravzinskas
- Muhammad Khalifa
- Wenyi Tay
- Congbo Ma
Papers from Eric Chu's perspective
Ordered by how strongly the researchers Eric Chu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- PaLM 2 Technical Report (2023) — 1,524 citations
- MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization (2018) — 214 citations