Judy Hoffman

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 112

Top Venues

Publications

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)
George Stoica, Daniel Bolya, Jakob Bjorner, Pratik Ramesh, Taylor Hearn, Judy Hoffman
ZipIt! Merging Models from Different Tasks without Training. ICLR (2024)
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 (2024)
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
Window Attention is Bugged: How not to Interpolate Position Embeddings. ICLR (2024)
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR (2024)
Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman
: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR (2023)
Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding. CoRR (2023)
Daniel Bolya, Judy Hoffman
Token Merging for Fast Stable Diffusion. CVPR Workshops (2023)
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 (2023)
Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. CoRR (2023)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. ICLR (2023)
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)
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)
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 (2023)
George Stoica, Daniel Bolya, Jakob Bjorner, Taylor Hearn, Judy Hoffman
ZipIt! Merging Models from Different Tasks without Training. CoRR (2023)
Daniel Bolya, Judy Hoffman
Token Merging for Fast Stable Diffusion. CoRR (2023)
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)
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)
Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman
Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. ICCV (2023)
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)
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
FACTS: First Amplify Correlations and Then Slice to Discover Bias. CoRR (2023)
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 (2023)
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS (2023)
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
Window Attention is Bugged: How not to Interpolate Position Embeddings. CoRR (2023)
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR (2023)
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR (2023)
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)
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 (2023)
Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. ICCV (2023)
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
FACTS: First Amplify Correlations and Then Slice to Discover Bias. ICCV (2023)
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 (2023)
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR (2023)
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. NeurIPS (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) (2022)
Sachit Kuhar, Alexey Tumanov, Judy Hoffman
Signed Binary Weight Networks: Improving Efficiency of Binary Weight Networks by Exploiting Sparsity. CoRR (2022)
Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR (2022)
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. CoRR (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. CoRR (2022)
Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. CoRR (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
Hydra Attention: Efficient Attention with Many Heads. CoRR (2022)
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
Multiple-source adaptation theory and algorithms - addendum. Ann. Math. Artif. Intell. 90 (6) (2022)
Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CVPR Workshops (2022)
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS (2022)
Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR (2022)
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 (2022)
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. CoRR (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CoRR (2022)
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV (2021)
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
Representation Learning Through Latent Canonicalizations. WACV (2021)
Ningshan Zhang, Mehryar Mohri, Judy Hoffman
Multiple-source adaptation theory and algorithms. Ann. Math. Artif. Intell. 89 (3-4) (2021)
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. BMVC (2021)
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. CoRR (2021)
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Temporal Action Detection with Multi-level Supervision. ICCV (2021)
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. ICCV (2021)
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. CoRR (2021)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. ICCV (2021)
Daniel Bolya, Rohit Mittapalli, Judy Hoffman
Scalable Diverse Model Selection for Accessible Transfer Learning. NeurIPS (2021)
Daniel Bolya, Rohit Mittapalli, Judy Hoffman
Scalable Diverse Model Selection for Accessible Transfer Learning. CoRR (2021)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. CoRR (2021)
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
Mitigating Bias in Visual Transformers via Targeted Alignment. BMVC (2021)
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
TIDE: A General Toolbox for Identifying Object Detection Errors. CoRR (2020)
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) (2020)
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
Representation Learning Through Latent Canonicalizations. CoRR (2020)
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR (2020)
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR (2020)
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. CoRR (2020)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. CoRR (2020)
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS (2020)
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
TIDE: A General Toolbox for Identifying Object Detection Errors. ECCV (3) (2020)
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRL (2020)
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)
Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR (2020)
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Temporal Action Detection with Multi-level Supervision. CoRR (2020)
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. CoRR (2020)
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Auxiliary Task Reweighting for Minimum-data Learning. CoRR (2020)
Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. ECCV Workshops (1) (2020)
Yogesh Balaji, Tom Goldstein, Judy Hoffman
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. CoRR (2019)
Judy Hoffman, Daniel A. Roberts, Sho Yaida
Robust Learning with Jacobian Regularization. CoRR (2019)
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. ICCV (2019)
Benjamin Wilson, Judy Hoffman, Jamie Morgenstern
Predictive Inequity in Object Detection. CoRR (2019)
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. CoRR (2019)
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)
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)
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
Algorithms and Theory for Multiple-Source Adaptation. CoRR (2018)
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR (2018)
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
Algorithms and Theory for Multiple-Source Adaptation. NeurIPS (2018)
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV (2018)
Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell
Adapting to Continuously Shifting Domains. ICLR (Workshop) (2018)
Timnit Gebru, Judy Hoffman, Li Fei-Fei
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. ICCV (2017)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation. CVPR (2017)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) (2017)
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 (2017)
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
Multiple-Source Adaptation for Regression Problems. CoRR (2017)
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)
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
VisDA: The Visual Domain Adaptation Challenge. CoRR (2017)
Timnit Gebru, Judy Hoffman, Li Fei-Fei
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach. CoRR (2017)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation. CoRR (2017)
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 (2017)
Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks. NIPS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Judy Hoffman