K. Chaloner

Artificial Intelligence · with Maldonado · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Natural Language Processing — 9 citations into it
• Representation & Self-Supervised Learning — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom K. Chaloner trusts overall

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

1. Dekang Lin
2. Hinrich Schütze
3. Tomas Mikolov
4. David Arthur
5. Jeffrey Pennington
6. A. Greenwald
7. Aylin Caliskan
8. Billy Chiu
9. Richard Socher
10. Sergei Vassilvitskii

Who trusts K. Chaloner overall

1. Seung-Jae Shin
2. Kyungwoo Song
3. Anjalie Field
4. Karolina Stańczak

Papers from K. Chaloner's perspective

Ordered by how strongly the researchers K. Chaloner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GloVe: Global Vectors for Word Representation
8. Efficient Estimation of Word Representations in Vector Space
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories (2019) — 56 citations