David Warde-Farley
Impact in
-
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Neurology top 0.5%
- Brain Tumor Detection and Classification
Papers in
-
- Reinforcement Learning in Robotics 3
- Computational Physics and Python Applications 3
- Machine Learning and Data Classification 3
- Domain Adaptation and Few-Shot Learning 3
-
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Yoshua Bengio (9 shared papers)Aaron Courville (5 shared papers)Ian Goodfellow (4 shared papers)Mehdi Mirza (3 shared papers)Sherjil Ozair (1 shared paper)Bing Xu (1 shared paper)Jean Pouget-Abadie (1 shared paper)Quaid Morris (4 shared papers)
- Journals
- Genome biology (1 paper)Medical Image Analysis (1 paper)Nature Biotechnology (1 paper)Nucleic Acids Research (1 paper)Communications of the ACM (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
David Warde-Farley
17 papers receiving 16.7k citations
David Warde-Farley's Hit Papers
Peers
Comparison fields: 5 of 224
- Computer Vision and Pattern Recognition 5.5k
- Neurology 1.4k
- Artificial Intelligence 4.0k
- Health Informatics 126
- Media Technology 838
Countries citing papers authored by David Warde-Farley
This map shows the geographic impact of David Warde-Farley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Warde-Farley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Warde-Farley more than expected).
Fields of papers citing papers by David Warde-Farley
This network shows the impact of papers produced by David Warde-Farley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Warde-Farley. The network helps show where David Warde-Farley may publish in the future.
Co-authors
The 25 scholars most cited alongside David Warde-Farley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Generative adversarial networks Hit paper breakdown → | 2020 | 8670 |
| 2 | The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function Hit paper breakdown → | 2010 | 3328 |
| 3 | Brain tumor segmentation with Deep Neural Networks Hit paper breakdown → | 2016 | 2142 |
| 4 | GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function Hit paper breakdown → | 2008 | 749 |
| 5 | Theano: A CPU and GPU Math Compiler in Python Hit paper breakdown → | 2010 | 692 |
| 6 | Dynamic modularity in protein interaction networks predicts breast cancer outcome Hit paper breakdown → | 2009 | 546 |
| 7 | Maxout Networks Hit paper breakdown → | 2013 | 380 |
| 8 | 2015 | 265 | |
| 9 | Theano: Deep Learning on GPUs with Python | 2012 | 126 |
| 10 | Unsupervised and Transfer Learning Challenge: a Deep Learning Approach | 2011 | 91 |
| 11 | Improving Generative Adversarial Networks with Denoising Feature Matching | 2017 | 72 |
| 12 | 2018 | 20 | |
| 13 | 2021 | 7 | |
| 14 | 2011 | 7 | |
| 15 | 2015 | 3 | |
| 16 | SELF-INFORMED NEURAL NETWORK STRUCTURE LEARNING | 2015 | 2 |
| 17 | 2020 | 1 |
About David Warde-Farley
David Warde-Farley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Hardware and Architecture and Computational Theory and Mathematics, having authored 17 papers that have together received 17.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Reinforcement Learning in Robotics (3 papers), Computational Physics and Python Applications (3 papers), Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Neurology (1.4k citations), Artificial Intelligence (4.0k citations), Health Informatics (126 citations) and Media Technology (838 citations). David Warde-Farley has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Yoshua Bengio, Aaron Courville, Ian Goodfellow, Mehdi Mirza, Sherjil Ozair, Bing Xu, Jean Pouget-Abadie, Quaid Morris, Sara Mostafavi and Pierre‐Marc Jodoin. Their work appears in journals such as Genome biology, Medical Image Analysis, Nature Biotechnology, Nucleic Acids Research and Communications of the ACM.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.