Ryan A. Rossi
Artificial Intelligence · 2015–2023
A researcher in the Science corpus: 7 papers; trusts 128 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 250 citations into it
- Natural Language Processing — 107 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it; #9,189 of 21,575 by trust here, #9,563 by citations
- Graph Learning — 53 citations into it
- Statistical and Nonlinear Physics — 42 citations into it; #3,018 of 10,127 by trust here, #2,437 by citations
- Molecular Biology — 29 citations into it; #6,933 of 17,773 by trust here, #14,176 by citations
- Representation & Self-Supervised Learning — 29 citations into it
- Model Architectures — 14 citations into it
Whom Ryan A. Rossi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Ronald J. Williams
- Alex Krizhevsky
- Yann LeCun
- Alex Graves
- Jimmy Ba
- Kaiming He
Who trusts Ryan A. Rossi overall
- Jing Huang
- Corey Snyder
- Seyed Mehran Kazemi
- John Boaz Lee
- Jie Yang
- Minh N. Do
- Rishab Goel
- Jiong Zhu
- Kshitij Jain
- Feng Xia
Papers from Ryan A. Rossi's perspective
Ordered by how strongly the researchers Ryan A. Rossi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Attention Models in Graphs (2018) — 175 citations
- Graph Classification using Structural Attention (2018) — 323 citations
- Graph Neural Networks with Heterophily (2020) — 406 citations
- The Network Data Repository with Interactive Graph Analytics and Visualization (2015) — 3,002 citations
- Knowledge Graph Prompting for Multi-Document Question Answering (2023) — 329 citations
- Bias and Fairness in Large Language Models: A Survey (2023) — 1,188 citations
- Continuous-Time Dynamic Network Embeddings (2018) — 646 citations