Nicha C. Dvornek

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Optimization & Training — 37 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Generative Models — 8 citations into it

Whom Nicha C. Dvornek trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Karen Simonyan
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Alex Graves
10. Jia Deng

Who trusts Nicha C. Dvornek overall

1. Erico Tjoa

Papers from Nicha C. Dvornek's perspective

Ordered by how strongly the researchers Nicha C. Dvornek 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients (2020) — 669 citations
• Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results (2020) — 471 citations
• BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis (2020) — 802 citations
• Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI (2018) — 79 citations