Arnold Overwijk

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #17,116 of 35,345 by trust here, #6,664 by citations
• Information Retrieval & Search — 33 citations into it; #534 of 1,022 by trust here, #185 by citations
• Computer Vision and Pattern Recognition — 26 citations into it
• Natural Language Processing — 24 citations into it

Whom Arnold Overwijk trusts

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

1. Kyunghyun Cho (in Artificial Intelligence)
2. Jamie Callan (in Artificial Intelligence)
3. Zhuyun Dai (in Artificial Intelligence)
4. Kenton C. T. Lee (in Artificial Intelligence)
5. Kristina Toutanova (in Artificial Intelligence)
6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
7. Ming-Wei Chang (in Artificial Intelligence)
8. Yoshua Bengio (in Artificial Intelligence)
9. Rodrigo Nogueira (in Artificial Intelligence)
10. Quoc V. Le (in Artificial Intelligence)

Who trusts Arnold Overwijk

1. Jimmy J. Lin (in Artificial Intelligence)
2. Jamie Callan (in Artificial Intelligence)
3. Luyu Gao (in Artificial Intelligence)
4. Sheng-Chieh Lin (in Artificial Intelligence)
5. Jheng-Hong Yang (in Artificial Intelligence)
6. Luke Merrick (in Artificial Intelligence)
7. Hong-Liu Cao (in Artificial Intelligence)

Papers from Arnold Overwijk's perspective

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

1. SQuAD: 100,000+ Questions for Machine Comprehension of Text
2. Representation Learning with Contrastive Predictive Coding
3. Visualizing Data using t-SNE
4. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
8. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
9. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval (2020) — 1,631 citations