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Mark Sandler

Active 1989–2025

68
Papers
27,983
Citations
19
h-index
28
i10-index

Citations

Citations per year for Mark Sandler1991: 2 citations1995: 2 citations2004: 5 citations2005: 8 citations2006: 17 citations2007: 19 citations2008: 28 citations2009: 13 citations2010: 26 citations2011: 12 citations2012: 5 citations2013: 5 citations2014: 9 citations2015: 11 citations2016: 8 citations2017: 27 citations2018: 129 citations2019: 266 citations2020: 426 citations2021: 468 citations2022: 251 citations2023: 289 citations2024: 280 citations2025: 272 citations2026: 91 citations1992–1994: no citations, so these years are not shown1996–2003: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 610 citing papers, 24.4% of this breakdownChina: 534 citing papers, 21.3% of this breakdownUnited Kingdom: 157 citing papers, 6.3% of this breakdownGermany: 131 citing papers, 5.2% of this breakdownSouth Korea: 74 citing papers, 3% of this breakdownCanada: 72 citing papers, 2.9% of this breakdownSwitzerland: 65 citing papers, 2.6% of this breakdownIndia: 63 citing papers, 2.5% of this breakdownItaly: 61 citing papers, 2.4% of this breakdownAustralia: 59 citing papers, 2.4% of this breakdownFrance: 54 citing papers, 2.2% of this breakdownIsrael: 53 citing papers, 2.1% of this breakdown
0%24.4%Other 22.7%

Institutions

Fields

  • Computer Science75%
  • Engineering9.5%
  • Medicine4.4%
  • Agricultural and Biological Sciences2.3%
  • Neuroscience1.2%
  • Environmental Science1.1%
  • Other6.5%

Topics

  • Advanced Neural Network Applications11.8%
  • Domain Adaptation and Few-Shot Learning5.6%
  • Adversarial Robustness in Machine Learning3.6%
  • Advanced Image and Video Retrieval Techniques3%
  • Generative Adversarial Networks and Image Synthesis2.3%
  • Video Surveillance and Tracking Methods2.1%
  • Other71.6%

Coauthors

All papers

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  1. Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation

    Authors: Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 25,430

  2. Searching for MobileNetV3

    Authors: Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 575

  3. Uncovering mesa-optimization algorithms in Transformers

    Authors: Johannes von Oswald, Eyvind Niklasson, Maximilian Schlegel, Seijin Kobayashi, Nicolas Zucchet, Nino Scherrer, Nolan Miller, Mark Sandler, Blaise Agüera y Arcas, Max Vladymyrov, Razvan Pascanu, João Sacramento - arXiv (Cornell University), CoRR 2023 cited by 93

  4. CycleGAN, a Master of Steganography

    Authors: Casey Chu, Andrey Zhmoginov, Mark Sandler - arXiv (Cornell University), CoRR 2017 cited by 162

  5. MnasNet: Platform-Aware Neural Architecture Search for Mobile

    Authors: Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 222

  6. Large-Scale Generative Data-Free Distillation

    Authors: Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard - arXiv (Cornell University), CoRR 2020 cited by 41

  7. Training trajectories, mini-batch losses and the curious role of the learning rate

    Authors: Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Nolan Miller - arXiv (Cornell University), CoRR 2023 cited by 15

  8. Image segmentation via Cellular Automata

    Authors: Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agüera y Arcas - arXiv (Cornell University), CoRR 2020 cited by 15

  9. Inverting face embeddings with convolutional neural networks

    Authors: Andrey Zhmoginov, Mark Sandler - arXiv (Cornell University), CoRR 2016 cited by 58

  10. How new data permeates LLM knowledge and how to dilute it

    Authors: Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler - ICLR 2025 cited by 11

  11. HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning

    Authors: Andrey Zhmoginov, Mark Sandler, Maksym Vladymyrov - ICML 2022 cited by 80

  12. K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning

    Authors: Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard - ICLR (Poster) 2019 cited by 76

  13. Linear Transformers are Versatile In-Context Learners

    Authors: Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 37

  14. DDX7: Differentiable FM Synthesis of Musical Instrument Sounds

    Authors: Franco Caspe, Andrew McPherson, Mark Sandler - ISMIR 2022 cited by 12

  15. Fine-tuning Image Transformers using Learnable Memory

    Authors: Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 51

  16. Long Context In-Context Compression by Getting to the Gist of Gisting

    Authors: Aleksandar Petrov, Mark Sandler, Andrey Zhmoginov, Nolan Miller, Max Vladymyrov - ArXiv.org, CoRR 2025 cited by 5

  17. NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

    Authors: Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam - Lecture notes in computer science, ECCV (10) 2018 cited by 553

  18. The Power of Sparsity in Convolutional Neural Networks

    Authors: Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov - arXiv (Cornell University), CoRR 2017 cited by 92

  19. Understanding latency variations of black box services

    Authors: Darja Krushevskaja, Mark Sandler - conference on World Wide Web, WWW 2013 cited by 16

  20. Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning

    Authors: Max Vladymyrov, Andrey Zhmoginov, Mark Sandler - Trans. Mach. Learn. Res. 2024 cited by 6

  21. Narrowing the Focus: Learned Optimizers for Pretrained Models

    Authors: Gus Kristiansen, Mark Sandler, Andrey Zhmoginov, Nolan Miller, Anirudh Goyal, Jihwan Lee, Max Vladymyrov - arXiv (Cornell University), CoRR 2024 cited by 3

  22. Frugal Streaming for Estimating Quantiles

    Authors: Qiang Ma, S. Muthukrishnan, Mark Sandler - Lecture notes in computer science, Space-Efficient Data Structures, Streams, and Algorithms 2013 cited by 19

  23. Classification of origin with feature selection and network construction for folk tunes

    Authors: Cornelia Metzig, Matthew Gould, Roshan Noronha, Roshani Abbey, Mark Sandler, Caroline Colijn - Pattern Recognition Letters, Pattern Recognit. Lett. 2020 cited by 7

  24. Leveraging Synthetic Data for Improving Chamber Ensemble Separation

    Authors: Saurjya Sarkar, Louise Thorpe, Emmanouil Benetos, Mark Sandler - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2023 cited by 3