Arturs Backurs
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #17,772 of 35,345 by trust here, #18,586 by citations
- Safety, Robustness & Interpretability — 12 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Molecular Biology — 5 citations into it; #7,564 of 17,773 by trust here, #16,527 by citations
- Optimization & Training — 5 citations into it; #1,704 of 2,601 by trust here, #2,428 by citations
Whom Arturs Backurs trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ryan Williams
- Gonzalo Navarro
- Alexandra Chouldechova
- Ron Kohavi
- Amir Abboud
- Piotr Indyk
- Konstantin Makarychev
- Suman Kalyan Bera
- Flavio Chierichetti
- Michael B. Cohen
Who trusts Arturs Backurs overall
- Feyza Duman Keles
- Amir Abboud
- Dana Pessach
- Simon Caton
- Ninareh Mehrabi
- Sina Baharlouei
- Suman Kalyan Bera
- Pruthuvi Maheshakya Wijewardena
- Davinder Kaur
- Erez Shmueli
Papers from Arturs Backurs's perspective
Ordered by how strongly the researchers Arturs Backurs trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Language Models are Unsupervised Multitask Learners
Their papers
- Differentially Private Fine-tuning of Language Models (2021) — 517 citations
- Tight Hardness Results for LCS and Other Sequence Similarity Measures (2015) — 263 citations
- Edit Distance Cannot Be Computed in Strongly Subquadratic Time (unless SETH is false) (2014) — 441 citations
- Scalable Fair Clustering (2019) — 232 citations