Joyce Yue Chai
Artificial Intelligence · 2004–2021
A researcher in the Science corpus: 11 papers; trusts 529 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 263 citations into it; #8,104 of 35,345 by trust here, #6,468 by citations
- Natural Language Processing — 247 citations into it; #2,850 of 5,688 by trust here, #1,939 by citations
- Computer Vision and Pattern Recognition — 160 citations into it; #16,499 of 21,575 by trust here, #7,657 by citations
- Evaluation & Benchmarks — 61 citations into it
- Multimodal Learning — 59 citations into it
- Reinforcement Learning — 47 citations into it; #1,652 of 2,242 by trust here, #1,864 by citations
- Representation & Self-Supervised Learning — 33 citations into it
- Linguistics — 24 citations into it
Whom Joyce Yue Chai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Dipendra Kumar Misra
- Yann LeCun
- Sepp Hochreiter
- Ross B. Girshick
Who trusts Joyce Yue Chai overall
- Hao Ma
- Changsong Liu
- Irwin King
- Michael R. Lyu
- Qiaozi Gao
- Lanbo She
- Rui Fang
- Fengyi Tang
- Khanh Nguyen
- Pratyusha Sharma
Papers from Joyce Yue Chai's perspective
Ordered by how strongly the researchers Joyce Yue Chai 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Experience Grounds Language (2020) — 440 citations
- Language to Action: Towards Interactive Task Learning with Physical Agents (2018) — 98 citations
- Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue (2014) — 97 citations
- Collaborative Language Grounding Toward Situated Human-Robot Dialogue (2017) — 52 citations
- Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue (2015) — 21 citations
- Physical Causality of Action Verbs in Grounded Language Understanding (2016) — 49 citations
- MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks (2021) — 83 citations
- Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring (2021) — 92 citations
- Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches (2019) — 80 citations
- Collaborative Effort towards Common Ground in Situated Human-Robot Dialogue (2014) — 106 citations
- An automatic weighting scheme for collaborative filtering (2004) — 373 citations