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Jonathon Shlens

Identifiers

  • name variant Jonathon Shlens 0.60 · backfill

Papers (33)

  1. MedGemma Technical Report cs.AI · 2025 · author #69
  2. Capabilities of Gemini Models in Medicine cs.AI · 2024 · author #49
  3. Learning Data Augmentation Strategies for Object Detection cs.CV · 2019 · author #5
  4. Stand-Alone Self-Attention in Vision Models cs.CV · 2019 · author #6
  5. Visual Wake Words Dataset cs.CV · 2019 · author #3
  6. Using learned optimizers to make models robust to input noise cs.LG · 2019 · author #3
  7. A Learned Representation for Scalable Vector Graphics cs.CV · 2019 · author #4
  8. Accelerating Training of Deep Neural Networks with a Standardization Loss cs.LG · 2019 · author #3
  9. Searching for Efficient Multi-Scale Architectures for Dense Image Prediction cs.CV · 2018 · author #8
  10. Do Better ImageNet Models Transfer Better? cs.CV · 2018 · author #2
  11. A Dataset and Architecture for Visual Reasoning with a Working Memory cs.AI · 2018 · author #4
  12. Progressive Neural Architecture Search cs.CV · 2017 · author #4
  13. Recurrent Segmentation for Variable Computational Budgets cs.CV · 2017 · author #4
  14. Learning Transferable Architectures for Scalable Image Recognition cs.CV · 2017 · author #3
  15. PixColor: Pixel Recursive Colorization cs.CV · 2017 · author #5
  16. Exploring the structure of a real-time, arbitrary neural artistic stylization network cs.CV · 2017 · author #5
  17. YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video cs.CV · 2017 · author #2
  18. Pixel Recursive Super Resolution cs.CV · 2017 · author #3
  19. Conditional Image Synthesis With Auxiliary Classifier GANs stat.ML · 2016 · author #3
  20. A Learned Representation For Artistic Style cs.CV · 2016 · author #2
  21. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems cs.DC · 2016 · author #27
  22. Rethinking the Inception Architecture for Computer Vision cs.CV · 2015 · author #4
  23. Adversarial Autoencoders cs.LG · 2015 · author #2
  24. Net2Net: Accelerating Learning via Knowledge Transfer cs.LG · 2015 · author #3
  25. Deep Networks With Large Output Spaces cs.NE · 2014 · author #2
  26. Explaining and Harnessing Adversarial Examples stat.ML · 2014 · author #2
  27. A Tutorial on Independent Component Analysis cs.LG · 2014 · author #1
  28. Notes on Kullback-Leibler Divergence and Likelihood cs.IT · 2014 · author #1
  29. Notes on Generalized Linear Models of Neurons cs.NE · 2014 · author #1
  30. A Light Discussion and Derivation of Entropy cs.IT · 2014 · author #1
  31. A Tutorial on Principal Component Analysis cs.LG · 2014 · author #1
  32. Using Web Co-occurrence Statistics for Improving Image Categorization cs.CV · 2013 · author #7
  33. Zero-Shot Learning by Convex Combination of Semantic Embeddings cs.LG · 2013 · author #5

Mentions

  • 1312.5697 #7 · backfill · confidence 0.70 Jonathon Shlens
  • 1312.5650 #5 · backfill · confidence 0.70 Jonathon Shlens
  • 2404.18416 #49 · arxiv_oai · confidence 0.70 Jonathon Shlens

Frequent Coauthors