C. Clarke
Information Systems · with Cormack · 1997–2022
A researcher in the Science corpus: 12 papers; trusts 42 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 88 citations into it; #632 of 8,771 by trust here, #647 by citations
- Information Retrieval & Search — 85 citations into it; #146 of 1,022 by trust here, #252 by citations
- Artificial Intelligence — 75 citations into it; #9,283 of 35,345 by trust here, #8,365 by citations
- Evaluation & Benchmarks — 51 citations into it; #2,703 of 3,147 by trust here, #2,971 by citations
- Management Science and Operations Research — 29 citations into it; #11,551 of 11,946 by trust here, #8,469 by citations
- Signal Processing — 19 citations into it
- Computer Networks and Communications — 16 citations into it
- Computer Science Applications — 16 citations into it; #1,566 of 1,855 by trust here, #1,613 by citations
Whom C. Clarke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. Burges
- Tetsuya Sakai
- Olivier Chapelle
- Kalervo Järvelin
- Ellen M. Voorhees
- William Webber
- Justin Zobel
- Stephen E. Robertson
- Alistair Moffat
- Ben Carterette
Who trusts C. Clarke overall
- Jimmy J. Lin
- Zeynep Akkalyoncu Yilmaz
- Donna K. Harman
- Mark Sanderson
- Hamed Zamani
- Maik Fröbe
- Dwaipayan Roy
- Rodrigo Nogueira
- Nick Craswell
- Gordon V. Cormack
Papers from C. Clarke's perspective
Ordered by how strongly the researchers C. Clarke trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Human Preferences as Dueling Bandits (2022) — 22 citations
- Reciprocal rank fusion outperforms condorcet and individual rank learning methods (2009) — 1,081 citations
- Novelty and diversity in information retrieval evaluation (2008) — 1,088 citations
- Shallow pooling for sparse labels (2021) — 56 citations
- Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments (2015) — 37 citations
- Evaluation Measures Based on Preference Graphs (2021) — 6 citations
- Assessing Top- Preferences (2020) — 34 citations
- Query Driven Algorithm Selection in Early Stage Retrieval (2017) — 65 citations
- Efficient and effective spam filtering and re-ranking for large web datasets (2010) — 355 citations
- Information Retrieval: Implementing and Evaluating Search Engines (2010) — 545 citations
- Overview of the TREC 2009 Web Track (2009) — 437 citations
- Relevance ranking for one to three term queries (1997)