Zora Tung

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #2,904 of 35,345 by trust here, #2,415 by citations
• Natural Language Processing — 30 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Information Retrieval & Search — 10 citations into it; #138 of 1,022 by trust here, #78 by citations

Whom Zora Tung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kenton C. T. Lee
2. Geoffrey E. Hinton
3. Danqi Chen
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Alex Krizhevsky
8. Tomas Mikolov
9. Alex Graves
10. Sewon Min

Who trusts Zora Tung overall

1. Gautier Izacard
2. Luyu Gao
3. Sewon Min
4. Patrick Lewis
5. Danqi Chen
6. Nora Kassner
7. Kalpesh Krishna
8. James Thorne
9. Boshi Wang
10. Sheng-Chieh Lin

Papers from Zora Tung's perspective

Ordered by how strongly the researchers Zora Tung trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• REALM: Retrieval-Augmented Language Model Pre-Training (2020) — 3,207 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations