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SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation

Dec 21, 2020
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

* Code available at https://github.com/virajprabhu/SENTRY 

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Temporal Action Detection with Multi-level Supervision

Nov 24, 2020
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu


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Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Oct 16, 2020
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman


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Auxiliary Task Reweighting for Minimum-data Learning

Oct 16, 2020
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

* NeurIPS 2020. Project page: https://sites.google.com/view/auxiliary-task-reweighting/home 

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Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents

Sep 07, 2020
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh


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TIDE: A General Toolbox for Identifying Object Detection Errors

Aug 31, 2020
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman

* Updated LVIS results with the v1.0.1 error calculation 

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Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

Aug 28, 2020
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman

* Published at ECCV 2020 

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Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses

Aug 25, 2020
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman

* ECCV 2020 Workshop on Adversarial Robustness in the Real World 

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Analyzing Visual Representations in Embodied Navigation Tasks

Mar 12, 2020
Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos


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Representation Learning Through Latent Canonicalizations

Feb 26, 2020
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman


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Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

Oct 17, 2019
Yogesh Balaji, Tom Goldstein, Judy Hoffman


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Robust Learning with Jacobian Regularization

Aug 07, 2019
Judy Hoffman, Daniel A. Roberts, Sho Yaida

* 21 pages, 10 figures 

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SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation

May 21, 2019
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra


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Predictive Inequity in Object Detection

Feb 21, 2019
Benjamin Wilson, Judy Hoffman, Jamie Morgenstern


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Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation

Jun 26, 2018
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko


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Algorithms and Theory for Multiple-Source Adaptation

May 20, 2018
Judy Hoffman, Mehryar Mohri, Ningshan Zhang

* arXiv admin note: text overlap with arXiv:1711.05037 

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CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Dec 29, 2017
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell


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Label Efficient Learning of Transferable Representations across Domains and Tasks

Nov 30, 2017
Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

* NIPS 2017 

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VisDA: The Visual Domain Adaptation Challenge

Nov 29, 2017
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko


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Multiple-Source Adaptation for Regression Problems

Nov 14, 2017
Judy Hoffman, Mehryar Mohri, Ningshan Zhang


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Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach

Sep 07, 2017
Timnit Gebru, Judy Hoffman, Li Fei-Fei

* ICCV 2017 

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Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

May 25, 2017
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell


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Inferring and Executing Programs for Visual Reasoning

May 10, 2017
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick


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Adversarial Discriminative Domain Adaptation

Feb 17, 2017
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell


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FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

Dec 08, 2016
Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell


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Clockwork Convnets for Video Semantic Segmentation

Aug 11, 2016
Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell


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Fine-to-coarse Knowledge Transfer For Low-Res Image Classification

May 21, 2016
Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko

* 5 pages, accepted by ICIP 2016 

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Quantification in-the-wild: data-sets and baselines

Nov 28, 2015
Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel Gonzalez-Rivero, Ove Hoegh - Guldberg

* This report was prsented at the NIPS 2015 workshop on Transfer and Multi-Task Learning: Trends and New Perspectives. It is 4 pages + 1 page of references followed by a 6 page appendix 

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Cross Modal Distillation for Supervision Transfer

Nov 25, 2015
Saurabh Gupta, Judy Hoffman, Jitendra Malik

* Updated version (v2) contains additional experiments and results 

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