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Judy Hoffman
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Journal Articles
- 2024
- [j6]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j5]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j4]Judy Hoffman
, Mehryar Mohri
, Ningshan Zhang:
Multiple-source adaptation theory and algorithms - addendum. Ann. Math. Artif. Intell. 90(6): 569-572 (2022) - 2021
- [j3]Ningshan Zhang
, Mehryar Mohri, Judy Hoffman
:
Multiple-source adaptation theory and algorithms. Ann. Math. Artif. Intell. 89(3-4): 237-270 (2021) - 2016
- [j2]Judy Hoffman
, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko:
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17: 142:1-142:31 (2016) - 2014
- [j1]Judy Hoffman
, Erik Rodner
, Jeff Donahue, Brian Kulis, Kate Saenko:
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. 109(1-2): 28-41 (2014)
Conference and Workshop Papers
- 2024
- [c64]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. ICLR 2024 - [c63]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR 2024 - [c62]George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman:
ZipIt! Merging Models from Different Tasks without Training. ICLR 2024 - 2023
- [c61]Haekyu Park
, Seongmin Lee
, Benjamin Hoover
, Austin P. Wright
, Omar Shaikh
, Rahul Duggal
, Nilaksh Das
, Kevin Li
, Judy Hoffman
, Duen Horng Chau
:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [c60]Daniel Bolya, Judy Hoffman:
Token Merging for Fast Stable Diffusion. CVPR Workshops 2023: 4599-4603 - [c59]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. ICCV 2023: 4771-4781 - [c58]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. ICCV 2023: 16186-16196 - [c57]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. ICCV 2023: 19231-19243 - [c56]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. ICLR 2023 - [c55]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [c54]Arun V. Reddy
, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. ICRA 2023: 11374-11381 - [c53]Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS 2023 - [c52]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS 2023 - [c51]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. WACV 2023: 1104-1113 - 2022
- [c50]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman
, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CVPR Workshops 2022: 3980-3987 - [c49]Seongmin Lee, Judy Hoffman
, Zijie J. Wang, Duen Horng Chau:
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR 2022: 21443-21451 - [c48]Daniel Bolya, Cheng-Yang Fu
, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) 2022: 35-49 - [c47]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022 - [c46]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. NeurIPS 2022 - 2021
- [c45]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
:
Mitigating Bias in Visual Transformers via Targeted Alignment. BMVC 2021: 138 - [c44]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. BMVC 2021: 143 - [c43]Baifeng Shi, Qi Dai, Judy Hoffman
, Kate Saenko
, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c42]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko
, Judy Hoffman
:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV 2021: 8485-8494 - [c41]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. ICCV 2021: 8538-8547 - [c40]Prithvijit Chattopadhyay, Judy Hoffman
, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. ICCV 2021: 15671-15680 - [c39]Daniel Bolya, Rohit Mittapalli, Judy Hoffman
:
Scalable Diverse Model Selection for Accessible Transfer Learning. NeurIPS 2021: 19301-19312 - [c38]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
:
Representation Learning Through Latent Canonicalizations. WACV 2021: 645-654 - 2020
- [c37]Samyak Datta, Oleksandr Maksymets, Judy Hoffman
, Stefan Lee, Dhruv Batra, Devi Parikh:
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRL 2020: 313-328 - [c36]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. ECCV Workshops (1) 2020: 39-54 - [c35]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) 2020: 301-318 - [c34]Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
:
TIDE: A General Toolbox for Identifying Object Detection Errors. ECCV (3) 2020: 558-573 - [c33]Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L. Grady, Irfan A. Essa, Judy Hoffman
, Thomas Plötz:
Masked reconstruction based self-supervision for human activity recognition. ISWC 2020: 45-49 - [c32]Baifeng Shi, Judy Hoffman
, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS 2020 - 2019
- [c31]Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman
, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. ICCV 2019: 1022-1031 - 2018
- [c30]Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman
, Kate Saenko
:
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops 2018: 2021-2026 - [c29]Andreea Bobu, Eric Tzeng, Judy Hoffman
, Trevor Darrell:
Adapting to Continuously Shifting Domains. ICLR (Workshop) 2018 - [c28]Judy Hoffman
, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - [c27]Judy Hoffman
, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. NeurIPS 2018: 8256-8266 - [c26]Liyue Shen, Serena Yeung
, Judy Hoffman
, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV 2018: 1568-1576 - 2017
- [c25]Eric Tzeng, Judy Hoffman
, Kate Saenko
, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CVPR 2017: 2962-2971 - [c24]Timnit Gebru, Judy Hoffman
, Li Fei-Fei:
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. ICCV 2017: 1358-1367 - [c23]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman
, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. ICCV 2017: 3008-3017 - [c22]Eric Tzeng, Judy Hoffman
, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) 2017 - [c21]Zelun Luo, Yuliang Zou, Judy Hoffman
, Li Fei-Fei:
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks. NIPS 2017: 165-177 - 2016
- [c20]Judy Hoffman
, Saurabh Gupta, Trevor Darrell:
Learning with Side Information through Modality Hallucination. CVPR 2016: 826-834 - [c19]Saurabh Gupta, Judy Hoffman
, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CVPR 2016: 2827-2836 - [c18]Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) 2016: 435-442 - [c17]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. ECCV Workshops (3) 2016: 852-868 - [c16]Xingchao Peng, Judy Hoffman
, Stella X. Yu, Kate Saenko:
Fine-to-coarse knowledge transfer for low-res image classification. ICIP 2016: 3683-3687 - [c15]Judy Hoffman
, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell:
Cross-modal adaptation for RGB-D detection. ICRA 2016: 5032-5039 - [c14]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko
, Trevor Darrell:
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR 2016: 688-703 - 2015
- [c13]Judy Hoffman
, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector discovery in the wild: Joint multiple instance and representation learning. CVPR 2015: 2883-2891 - [c12]Damian Mrowca, Marcus Rohrbach, Judy Hoffman
, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. ICCV 2015: 2003-2011 - [c11]Eric Tzeng, Judy Hoffman
, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. ICCV 2015: 4068-4076 - 2014
- [c10]Judy Hoffman
, Trevor Darrell, Kate Saenko:
Continuous Manifold Based Adaptation for Evolving Visual Domains. CVPR 2014: 867-874 - [c9]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman
, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML 2014: 647-655 - [c8]Daniel Goehring, Judy Hoffman
, Erik Rodner, Kate Saenko, Trevor Darrell:
Interactive adaptation of real-time object detectors. ICRA 2014: 1282-1289 - [c7]Judy Hoffman
, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [c6]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - 2013
- [c5]Jeff Donahue, Judy Hoffman
, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. CVPR 2013: 668-675 - [c4]Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell:
Efficient Learning of Domain-invariant Image Representations. ICLR (Poster) 2013 - 2012
- [c3]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg
, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c2]Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko:
Discovering Latent Domains for Multisource Domain Adaptation. ECCV (2) 2012: 702-715 - 2011
- [c1]Leonard Jaillet, Judy Hoffman
, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Kenneth Y. Goldberg:
EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles. IROS 2011: 2646-2652
Parts in Books or Collections
- 2017
- [p1]Judy Hoffman
, Eric Tzeng, Trevor Darrell, Kate Saenko
:
Simultaneous Deep Transfer Across Domains and Tasks. Domain Adaptation in Computer Vision Applications 2017: 173-187
Informal and Other Publications
- 2024
- [i65]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. CoRR abs/2402.00868 (2024) - 2023
- [i64]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR abs/2302.04358 (2023) - [i63]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i62]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. CoRR abs/2303.10280 (2023) - [i61]Daniel Bolya, Judy Hoffman:
Token Merging for Fast Stable Diffusion. CoRR abs/2303.17604 (2023) - [i60]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. CoRR abs/2304.11263 (2023) - [i59]George Stoica, Daniel Bolya, Jakob Bjorner, Taylor Hearn, Judy Hoffman:
ZipIt! Merging Models from Different Tasks without Training. CoRR abs/2305.03053 (2023) - [i58]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR abs/2305.19164 (2023) - [i57]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i56]Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman:
ICON2: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR abs/2306.04482 (2023) - [i55]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - [i54]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. CoRR abs/2309.17430 (2023) - [i53]Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR abs/2310.19909 (2023) - [i52]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. CoRR abs/2311.05613 (2023) - [i51]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR abs/2312.06106 (2023) - [i50]Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi
, Judy Hoffman, Prithvijit Chattopadhyay:
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding. CoRR abs/2312.06719 (2023) - 2022
- [i49]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman
, Duen Horng Chau:
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i48]Seongmin Lee, Zijie J. Wang, Judy Hoffman
, Duen Horng Chau:
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR abs/2204.05899 (2022) - [i47]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman
, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CoRR abs/2204.11122 (2022) - [i46]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. CoRR abs/2206.08222 (2022) - [i45]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman
, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. CoRR abs/2206.12403 (2022) - [i44]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
:
Hydra Attention: Efficient Attention with Many Heads. CoRR abs/2209.07484 (2022) - [i43]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
:
Token Merging: Your ViT But Faster. CoRR abs/2210.09461 (2022) - [i42]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR abs/2211.11116 (2022) - [i41]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. CoRR abs/2212.00979 (2022) - 2021
- [i40]Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. CoRR abs/2106.04531 (2021) - [i39]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. CoRR abs/2107.10140 (2021) - [i38]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. CoRR abs/2110.15499 (2021) - [i37]Daniel Bolya, Rohit Mittapalli, Judy Hoffman:
Scalable Diverse Model Selection for Accessible Transfer Learning. CoRR abs/2111.06977 (2021) - 2020
- [i36]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. CoRR abs/2002.11829 (2020) - [i35]Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos:
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR abs/2003.05993 (2020) - [i34]Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. CoRR abs/2008.08115 (2020) - [i33]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. CoRR abs/2008.11300 (2020) - [i32]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR abs/2008.12839 (2020) - [i31]Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh:
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRR abs/2009.03231 (2020) - [i30]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. CoRR abs/2010.08244 (2020) - [i29]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR abs/2010.08666 (2020) - [i28]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. CoRR abs/2011.11893 (2020) - [i27]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. CoRR abs/2012.11460 (2020) - 2019
- [i26]Benjamin Wilson, Judy Hoffman, Jamie Morgenstern:
Predictive Inequity in Object Detection. CoRR abs/1902.11097 (2019) - [i25]Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. CoRR abs/1905.07512 (2019) - [i24]Judy Hoffman, Daniel A. Roberts, Sho Yaida:
Robust Learning with Jacobian Regularization. CoRR abs/1908.02729 (2019) - [i23]Yogesh Balaji, Tom Goldstein, Judy Hoffman:
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. CoRR abs/1910.08051 (2019) - 2018
- [i22]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. CoRR abs/1805.08727 (2018) - [i21]Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko:
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR abs/1806.09755 (2018) - 2017
- [i20]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CoRR abs/1702.05464 (2017) - [i19]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. CoRR abs/1705.03633 (2017) - [i18]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach. CoRR abs/1709.02476 (2017) - [i17]Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko:
VisDA: The Visual Domain Adaptation Challenge. CoRR abs/1710.06924 (2017) - [i16]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - [i15]Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-Source Adaptation for Regression Problems. CoRR abs/1711.05037 (2017) - [i14]Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations across Domains and Tasks. CoRR abs/1712.00123 (2017) - 2016
- [i13]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR abs/1605.06695 (2016) - [i12]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. CoRR abs/1608.03609 (2016) - [i11]Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell:
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR abs/1612.02649 (2016) - 2015
- [i10]Saurabh Gupta, Judy Hoffman, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CoRR abs/1507.00448 (2015) - [i9]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. CoRR abs/1510.02192 (2015) - [i8]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. CoRR abs/1510.02949 (2015) - [i7]Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez
, Manuel González-Rivero, Ove Hoegh-Guldberg:
Quantification in-the-wild: data-sets and baselines. CoRR abs/1510.04811 (2015) - [i6]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - 2014
- [i5]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i4]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR abs/1412.1135 (2014) - [i3]Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell:
Deep Domain Confusion: Maximizing for Domain Invariance. CoRR abs/1412.3474 (2014) - 2013
- [i2]Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko:
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR abs/1308.4200 (2013) - [i1]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR abs/1310.1531 (2013)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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