Nevin Lianwen Zhang
Artificial Intelligence · 2001–2022
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #17,859 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Natural Language Processing — 19 citations into it
- Reinforcement Learning — 12 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Nevin Lianwen Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike
- Stan Lipovetsky
- Arthur P. Dempster
- Richard Durbin
- Lawrence R. Rabiner
- David L. Swofford
- Aaron D. Lanterman
- Nan M. Laird
- Sean R. Eddy
- Marina Meila
Who trusts Nevin Lianwen Zhang overall
- Stefan Harmeling
- Ahmed El Ouadrhiri
- Le Song
- Christopher K. I. Williams
- Ahmed M Abdelhadi
- Ankur P. Parikh
- Hoifung Poon
- Uffe Kjærulff
- Ana Lúcia Cetertich Bazzan
- Eric P. Xing
Papers from Nevin Lianwen Zhang's perspective
Ordered by how strongly the researchers Nevin Lianwen Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making (2001) — 73 citations
- Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue (2022) — 16 citations
- Hierarchical latent class models for cluster analysis (2002) — 302 citations