Cynthia C. S. Liem

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Cynthia C. S. Liem trusts overall

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

1. Radford M. Neal
2. Alex Pentland
3. Yann LeCun
4. Yoshua Bengio
5. Tadas Baltrusaitis
6. Duncan J. Watts
7. Kate Crawford
8. Achmadnoer Sukma Wicaksana
9. Geoffrey E. Hinton
10. Cornelius J. Konig

Papers from Cynthia C. S. Liem's perspective

Ordered by how strongly the researchers Cynthia C. S. Liem trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Human-Explainable Features for Job Candidate Screening Prediction (2017) — 19 citations
• Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening (2018) — 98 citations