Suna Bensch
Safety, Robustness & Interpretability · 2020
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Safety, Robustness & Interpretability — 20 citations into it
- Artificial Intelligence — 19 citations into it
- Natural Language Processing — 9 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Suna Bensch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Suna Bensch's perspective
Ordered by how strongly the researchers Suna Bensch trusts endorse each paper. Same corpus, a different order for every researcher.
- GloVe: Global Vectors for Word Representation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Efficient Estimation of Word Representations in Vector Space
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Bias in machine learning - what is it good for? (2020) — 88 citations