Marc Najork
Artificial Intelligence · 2000–2021
A researcher in the Science corpus: 17 papers; trusts 313 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 254 citations into it; #22,784 of 35,345 by trust here, #9,275 by citations
- Natural Language Processing — 140 citations into it
- Computer Vision and Pattern Recognition — 121 citations into it
- Information Systems — 74 citations into it; #1,128 of 8,771 by trust here, #855 by citations
- Information Retrieval & Search — 58 citations into it; #990 of 1,022 by trust here, #690 by citations
- Representation & Self-Supervised Learning — 38 citations into it
- Model Architectures — 36 citations into it
- Large Language Models — 33 citations into it
Whom Marc Najork trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- Tomas Mikolov
- Kaiming He
- Jacob Devlin
- Alex Graves
Who trusts Marc Najork overall
- Xinyi Zhou
- Kyumin Lee
- Alexandros Ntoulas
- Ping Li
- Xinyi Zhou
- Dennis Fetterly
- Thorsten Joachims
- Gianluca Stringhini
- Jiwei Li
- Nitin Jindal
Papers from Marc Najork's perspective
Ordered by how strongly the researchers Marc Najork trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning (2021) — 441 citations
- Dynamic Language Models for Continuously Evolving Content (2021) — 51 citations
- Detecting spam web pages through content analysis (2006) — 737 citations
- Learning to Rank with Selection Bias in Personal Search (2016) — 301 citations
- Rethinking Search: Making Experts out of Dilettantes (2021) — 11 citations
- DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling (2020) — 29 citations
- Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching (2020) — 13 citations
- Semantic Text Matching for Long-Form Documents (2019) — 102 citations
- TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (2018) — 146 citations
- Position Bias Estimation for Unbiased Learning to Rank in Personal Search (2018) — 301 citations
- Web Crawling (2014) — 480 citations
- Web Services Business Process Execution Language (2009) — 531 citations
- Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004 (2004) — 14 citations
- Spam, damn spam, and statistics: using statistical analysis to locate spam web pages (2004) — 360 citations
- A large‐scale study of the evolution of Web pages (2003) — 598 citations
- Breadth-first crawling yields high-quality pages (2001) — 328 citations
- On near-uniform URL sampling (2000) — 294 citations