---
title: "Judy Hoffman — all works — Elamur Research"
description: "All 42 works of Judy Hoffman in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/judy-hoffman/works/"
---
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# Judy Hoffman — all works

42 works · [← Judy Hoffman](https://md.research.elamur.ai/free/en/authors/judy-hoffman/)

1. **[Adversarial Discriminative Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2017.316) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Eric Tzeng et al.*2017 · 4,938 citations*
2. [**DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531**Jeff Donahue, Yangqing Jia, Oriol Vinyals, et al.*2013 · 3,463 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2013-decaf-deep-convolutional-activation-feature/)
3. **[Deep Domain Confusion: Maximizing for Domain Invariance ↗](https://arxiv.org/abs/1412.3474) arXiv (Cornell University) · no summary yet**Eric Tzeng et al.*2014 · 2,210 citations*
4. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1109/iccv.2015.463) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Eric Tzeng et al.*2015 · 1,152 citations*
5. **[CyCADA: Cycle-Consistent Adversarial Domain Adaptation ↗](https://arxiv.org/abs/1711.03213) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2017 · 680 citations*
6. **[FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation ↗](https://arxiv.org/abs/1612.02649) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2016 · 627 citations*
7. **[Inferring and Executing Programs for Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2017-inferring-executing-programs-visual-reasoning/) [IEEE International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/)**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2017 · 557 citations*
8. **[Cross Modal Distillation for Supervision Transfer ↗](https://doi.org/10.1109/cvpr.2016.309) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Saurabh Gupta, Judy Hoffman, Jitendra Malik*2016 · 534 citations*
9. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1007/978-3-319-58347-1_9) Advances in computer vision and pattern recognition · no summary yet**Judy Hoffman et al.*2017 · 254 citations*
10. **[Learning with Side Information through Modality Hallucination ↗](https://doi.org/10.1109/cvpr.2016.96) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Judy Hoffman, Saurabh Gupta, Trevor Jackson Darrell*2016 · 216 citations*
11. **[Clockwork Convnets for Video Semantic Segmentation ↗](https://doi.org/10.1007/978-3-319-49409-8_69) Lecture notes in computer science · no summary yet**Evan Shelhamer et al.*2016 · 204 citations*
12. **[Semi-supervised Domain Adaptation with Instance Constraints ↗](https://doi.org/10.1109/cvpr.2013.92) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jeff Donahue et al.*2013 · 190 citations*
13. **[LSDA: Large Scale Detection Through Adaptation ↗](https://arxiv.org/abs/1407.5035) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2014 · 185 citations*
14. **[Discovering Latent Domains for Multisource Domain Adaptation ↗](https://doi.org/10.1007/978-3-642-33709-3_50) Lecture notes in computer science · no summary yet**Judy Hoffman et al.*2012 · 174 citations*
15. **[Efficient Learning of Domain-invariant Image Representations ↗](https://arxiv.org/abs/1301.3224) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2013 · 153 citations*
16. **[Continuous Manifold Based Adaptation for Evolving Visual Domains ↗](https://doi.org/10.1109/cvpr.2014.116) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Judy Hoffman, Trevor Jackson Darrell, Kate Saenko*2014 · 135 citations*
17. **[Adapting Deep Visuomotor Representations with Weak Pairwise Constraints ↗](https://doi.org/10.1007/978-3-030-43089-4_44) Springer proceedings in advanced robotics · no summary yet**Eric Tzeng et al.*2015 · 124 citations*
18. **[Best Practices for Fine-Tuning Visual Classifiers to New Domains ↗](https://doi.org/10.1007/978-3-319-49409-8_34) Lecture notes in computer science · no summary yet**Brian Chu et al.*2016 · 123 citations*
19. **[Cross-modal adaptation for RGB-D detection ↗](https://doi.org/10.1109/icra.2016.7487708) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Judy Hoffman et al.*2016 · 82 citations*
20. **[Detector discovery in the wild: Joint multiple instance and representation learning ↗](https://doi.org/10.1109/cvpr.2015.7298906) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Judy Hoffman et al.*2015 · 78 citations*
21. **[One-Shot Adaptation of Supervised Deep Convolutional Models ↗](https://arxiv.org/abs/1312.6204) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2013 · 67 citations*
22. **[SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ↗](https://doi.org/10.1109/iccv.2019.00111) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Daniel Gordon et al.*2019 · 63 citations*
23. **[Adapting to Continuously Shifting Domains ↗](https://openalex.org/W2912410476) International Conference on Learning Representations · no summary yet**Andreea Bobu et al.*2018 · 46 citations*
24. **[Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents ↗](https://arxiv.org/abs/2009.03231) arXiv (Cornell University) · no summary yet**Samyak Datta et al.*2020 · 21 citations*
25. **[Spatial Semantic Regularisation for Large Scale Object Detection ↗](https://doi.org/10.1109/iccv.2015.232) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Damian Mrowca et al.*2015 · 19 citations*
26. **[Auxiliary Task Reweighting for Minimum-data Learning ↗](https://arxiv.org/abs/2010.08244) arXiv (Cornell University) · no summary yet**Baifeng Shi et al.*2020 · 16 citations*
27. **[Temporal Action Detection with Multi-level Supervision ↗](https://doi.org/10.1109/iccv48922.2021.00792) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Baifeng Shi et al.*2021 · 15 citations*
28. **[Quantification in-the-wild: data-sets and baselines ↗](https://arxiv.org/abs/1510.04811) arXiv (Cornell University) · no summary yet**Oscar Beijbom et al.*2015 · 15 citations*
29. **[Interactive adaptation of real-time object detectors ↗](https://doi.org/10.1109/icra.2014.6907018) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Daniel Goehring et al.*2014 · 15 citations*
30. **[Contrastive Flow Matching ↗](https://doi.org/10.1109/iccv51701.2025.00118) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**George Stoica et al.*2025 · 11 citations*
31. **[Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗](https://arxiv.org/abs/1308.4200) arXiv (Cornell University) · no summary yet**Erik Rodner et al.*2013 · 9 citations*
32. **[Adversarial Discriminative Domain Adaptation (workshop extended abstract). ↗](https://openalex.org/W2902589289) International Conference on Learning Representations · no summary yet**Eric Tzeng et al.*2017 · 7 citations*
33. **[Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors ↗](https://doi.org/10.52202/079017-3748) neural information processing systems · no summary yet**Anisha Pal et al.*2024 · 2 citations*
34. **[From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach ↗](https://openalex.org/W2188721014) no summary yet**Judy Hoffman et al.*2014 · 2 citations*
35. **[Posterior Augmented Flow Matching ↗](https://doi.org/10.1007/978-3-032-37314-4_13) Lecture notes in computer science · no summary yet**George Stoica et al.*2026*
36. **[Max-margin transforms for visual domain adaptation ↗](https://openalex.org/W7098459085) no summary yet**Judy Hoffman et al.*2015*
37. **[Scalable Transform-based Domain Adaptation ↗](https://openalex.org/W7097269457) no summary yet**Erik Rodner et al.*2015*
38. **[Transform-based Domain Adaptation for Big Data ↗](https://openalex.org/W7098858061) no summary yet**Erik Rodner et al.*2015*
39. **[PROBLEM ADAPTATION METHODS DA WITH CORRESPONDENCES DETECTION ↗](https://openalex.org/W7096198371) no summary yet**Jeff Donahue et al.*2014*
40. **[K.: LSDA: Large scale detection through adaptation ↗](https://openalex.org/W7097728844) no summary yet**Judy Hoffman et al.*2014*
41. **[One-shot adaptation of supervised deep convolutional models. arXiv ↗](https://openalex.org/W7099927271) no summary yet**Judy Hoffman et al.*2013*
42. **[permission. Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗](https://openalex.org/W7101108518) no summary yet**Erik Rodner et al.*2013*