Ruslan Salakhutdinov
- Computer Vision and Pattern Recognition top 0.01%
- Generative Adversarial Networks and Image Synthesis 30
- Multimodal Machine Learning Applications 28
- Advanced Image and Video Retrieval Techniques 12
- Advanced Neural Network Applications 11
- Artificial Intelligence top 0.01%
- Topic Modeling 41
- Natural Language Processing Techniques 29
- Domain Adaptation and Few-Shot Learning 27
- Signal Processing top 0.02%
- Music and Audio Processing 15
- Computational Mathematics top 0.5%
- Media Technology top 0.05%
- Co-authors
- Geoffrey E. HintonNitish SrivastavaIlya SutskeverAlex KrizhevskyAndriy MnihRichard S. ZemelJoshua B. TenenbaumGregory Koch
- Journals
- Science (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)NeuroImage (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Ruslan Salakhutdinov
143 papers receiving 53.8k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Computer Vision and Pattern Recognition 19.9k
- Artificial Intelligence 26.1k
- Signal Processing 5.4k
- Computational Mathematics 256
- Media Technology 2.5k
Countries citing papers authored by Ruslan Salakhutdinov
This map shows the geographic impact of Ruslan Salakhutdinov'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 Ruslan Salakhutdinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruslan Salakhutdinov more than expected).
Fields of papers citing papers by Ruslan Salakhutdinov
This network shows the impact of papers produced by Ruslan Salakhutdinov. 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 Ruslan Salakhutdinov. The network helps show where Ruslan Salakhutdinov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruslan Salakhutdinov, 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 | 2021 | 83 | |
| 2 | Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex | 2019 | 7 |
| 3 | External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems | 2019 | 15 |
| 4 | On Exact Computation with an Infinitely Wide Neural Net | 2019 | 107 |
| 5 | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringbreakdown → | 2018 | 732 |
| 6 | Point Cloud GAN | 2018 | 7 |
| 7 | LSTM Iteration Networks: An Exploration of Differentiable Path Finding | 2018 | 3 |
| 8 | 2017 | 187 | |
| 9 | Controllable Text Generation. | 2017 | 43 |
| 10 | {Accurate and conservative estimates of MRF log-likelihood using reverse annealing} | 2015 | 12 |
| 11 | Dropout: a simple way to prevent neural networks from overfittingbreakdown → | 2014 | 22645 |
| 12 | Transfer Learning by Borrowing Examples for Multiclass Object Detection | 2011 | 62 |
| 13 | Practical Large-Scale Optimization for Max-norm Regularization | 2010 | 79 |
| 14 | Evaluating probabilities under high-dimensional latent variable models | 2008 | 38 |
| 15 | Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes | 2007 | 117 |
| 16 | Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structurebreakdown → | 2007 | 266 |
| 17 | Neighbourhood Components Analysisbreakdown → | 2004 | 1148 |
| 18 | Optimization with EM and expectation-conjugate-gradient | 2003 | 70 |
| 19 | Adaptive overrelaxed bound optimization methods | 2003 | 61 |
| 20 | Expectation-Conjugate Gradient: An Alternative to EM | 2002 | 3 |
About Ruslan Salakhutdinov
Ruslan Salakhutdinov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mathematics, having authored 147 papers that have together received 56.5k indexed citations. Recurring topics across this work include Topic Modeling (41 papers), Generative Adversarial Networks and Image Synthesis (30 papers), Natural Language Processing Techniques (29 papers), Multimodal Machine Learning Applications (28 papers), Domain Adaptation and Few-Shot Learning (27 papers), Music and Audio Processing (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.9k citations), Artificial Intelligence (26.1k citations) and Signal Processing (5.4k citations). Ruslan Salakhutdinov has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Geoffrey E. Hinton, Nitish Srivastava, Ilya Sutskever, Alex Krizhevsky, Andriy Mnih, Richard S. Zemel, Joshua B. Tenenbaum, Gregory Koch, Brenden M. Lake and Sam T. Roweis. Their work appears in journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.