Colleen Alkalay-Houlihan

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 17 citations into it; #32,326 of 35,345 by trust here, #16,166 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #2,024 of 2,251 by trust here, #1,404 by citations
• Natural Language Processing — 9 citations into it

Whom Colleen Alkalay-Houlihan trusts overall

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

1. Tomas Mikolov
2. Pang Wei Koh
3. A. Greenwald
4. Naman Agarwal
5. Aylin Caliskan

Who trusts Colleen Alkalay-Houlihan overall

1. Andrew Silva
2. Ninareh Mehrabi
3. Samyadeep Basu
4. Thomas Hellström
5. Alexander Warnecke
6. Davinder Kaur
7. Orestis Papakyriakopoulos

Papers from Colleen Alkalay-Houlihan's perspective

Ordered by how strongly the researchers Colleen Alkalay-Houlihan trusts endorse each paper. Same corpus, a different order for every researcher.

1. GloVe: Global Vectors for Word Representation
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Efficient Estimation of Word Representations in Vector Space
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding the Origins of Bias in Word Embeddings (2018) — 226 citations