Yi Cai
Artificial Intelligence · with Li · 2014–2023
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #34,417 of 35,345 by trust here, #27,551 by citations
- Electrical and Electronic Engineering — 25 citations into it; #15,557 of 16,539 by trust here, #14,379 by citations
- Management Science and Operations Research — 17 citations into it; #11,638 of 11,946 by trust here, #9,383 by citations
- Reinforcement Learning — 15 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Natural Language Processing — 10 citations into it
- Economics and Econometrics — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Yi Cai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoon Kim
- Geoffrey E. Hinton
- Spyros Gidaris
- Jeffrey Pennington
- Alex Krizhevsky
- Tianyu Gao
- Jacob Devlin
- Yoshua Bengio
- Robert P. Schumaker
- Richard Socher
Who trusts Yi Cai overall
Papers from Yi Cai's perspective
Ordered by how strongly the researchers Yi Cai 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Empirical analysis: stock market prediction via extreme learning machine (2014) — 161 citations
- Edge learning using a fully integrated neuro-inspired memristor chip (2023) — 381 citations
- A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint (2020) — 10 citations
- A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification (2020) — 44 citations
- A Q-values Sharing Framework for Multiple Independent Q-learners (2019) — 12 citations