Benjamin A. Newman

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Reinforcement Learning — 6 citations into it

Whom Benjamin A. Newman trusts overall

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

1. Iain E. Garden Richardson
2. Shervin Javdani
3. Michael L. Littman
4. Leslie Pack Kaelbling
5. Tomas Simon
6. Shih-En Wei
7. Moritz Kassner
8. Brian D. Ziebart
9. Zhe Cao
10. Anthony R. Cassandra

Who trusts Benjamin A. Newman overall

1. Dylan P. Losey

Papers from Benjamin A. Newman's perspective

Ordered by how strongly the researchers Benjamin A. Newman 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• HARMONIC: A multimodal dataset of assistive human–robot collaboration (2018) — 58 citations