Bishan Yang
Artificial Intelligence · 2014–2019
A researcher in the Science corpus: 7 papers; trusts 589 researchers and is trusted by 76 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 174 citations into it; #4,824 of 35,345 by trust here, #8,210 by citations
- Natural Language Processing — 131 citations into it; #1,378 of 5,688 by trust here, #2,529 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #6,798 of 21,575 by trust here, #13,542 by citations
- Representation & Self-Supervised Learning — 29 citations into it; #707 of 3,145 by trust here, #668 by citations
- Model Architectures — 22 citations into it
- Information Retrieval & Search — 18 citations into it
- Optimization & Training — 16 citations into it
- Evaluation & Benchmarks — 15 citations into it
Whom Bishan Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Jason Aaron Edward Weston
- Alex Graves
- Alex Krizhevsky
- Jimmy Ba
- Richard Socher
Who trusts Bishan Yang overall
- Quan Wang
- Kristina Toutanova
- Seyed Mehran Kazemi
- Hongwei Wang
- Ivana Balazevic
- Michihiro Yasunaga
- Jianfeng Gao
- Pasquale Minervini
- Andrew McCallum
- Danqi Chen
Papers from Bishan Yang's perspective
Ordered by how strongly the researchers Bishan Yang 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
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- End-to-End Learning for Structured Prediction Energy Networks (2017) — 138 citations
- Typed Tensor Decomposition of Knowledge Bases for Relation Extraction (2014) — 208 citations
- Leveraging Knowledge Bases in LSTMs for Improving Machine Reading (2017) — 258 citations
- A Joint Sequential and Relational Model for Frame-Semantic Parsing (2017) — 67 citations
- Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds (2018) — 14 citations
- Learning to Learn Semantic Parsers from Natural Language Supervision (2019) — 16 citations
- Embedding Entities and Relations for Learning and Inference in Knowledge Bases (2014) — 3,841 citations