Seth J. Berkowitz

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it

Whom Seth J. Berkowitz trusts overall

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

1. Ishna Neamatullah
2. Alistair E. W. Johnson
3. Tom J. Pollard

Papers from Seth J. Berkowitz's perspective

Ordered by how strongly the researchers Seth J. Berkowitz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Representation Learning with Contrastive Predictive Coding
4. ImageNet classification with deep convolutional neural networks
5. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
6. Attention is All you Need (Neural Information Processing Systems)
7. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
8. Learning deep representations by mutual information estimation and maximization
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports (2019) — 2,082 citations
• Multimodal Representation Learning via Maximization of Local Mutual Information (2021) — 50 citations
• Do as AI say: susceptibility in deployment of clinical decision-aids (2021) — 431 citations
• MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs (2019) — 1,117 citations