Danushka Bollegala

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it; #21,924 of 35,345 by trust here, #18,186 by citations
• Natural Language Processing — 54 citations into it
• Representation & Self-Supervised Learning — 29 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Information Systems — 5 citations into it

Whom Danushka Bollegala trusts overall

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

1. Tomas Mikolov
2. Dekang Lin
3. Yoshua Bengio
4. Peter D. Turney
5. George A. Miller
6. Richard Socher
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Mirella Lapata
10. Ilya Sutskever

Who trusts Danushka Bollegala overall

1. Ramiz M. Aliguliyev
2. Hu Xu
3. Jingyuan Sun
4. Xuan Hieu Phan
5. Yftah Ziser
6. Eneko Agirre
7. B. Liu
8. Shaonan Wang
9. Minh Le Nguyen
10. Tianlu Wang

Papers from Danushka Bollegala's perspective

Ordered by how strongly the researchers Danushka Bollegala 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Gender-preserving Debiasing for Pre-trained Word Embeddings (2019) — 138 citations
• Unsupervised Cross-Domain Word Representation Learning (2015) — 76 citations
• Measuring semantic similarity between words using web search engines (2007) — 628 citations
• A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization (2006) — 118 citations