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Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data

20 May 2020

George J. Pappas

Papers citing "Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data"

28 / 28 papers shown

Title
Multimodal Representation Alignment for Cross-modal Information Retrieval Fan Xu Luis A. Leiva 59 1 0 10 Jun 2025
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries Shikhar Jaiswal Ravishankar Krishnaswamy Ankit Garg H. Simhadri Sheshansh Agrawal 114 29 0 22 Oct 2022
Attacking Motion Estimation with Adversarial Snow Jenny Schmalfuss Lukas Mehl Andrés Bruhn AAML 67 9 0 20 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 103 1 0 12 Oct 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 176 74 0 20 Jul 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao Chengyang Ying Yinpeng Dong Hang Su Jun Zhu Jian Song AAML 104 21 0 09 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 141 21 0 08 Jun 2022
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation Birk Torpmann-Hagen Vajira Thambawita K. Glette Pål Halvorsen Michael A. Riegler 67 3 0 30 May 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 156 9 0 18 Mar 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 134 45 0 02 Feb 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 67 19 0 14 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 185 127 0 27 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Guang Cheng 98 15 0 16 Nov 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 89 10 0 18 Aug 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 94 1 0 20 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment Generation Allen Z. Ren Anirudha Majumdar OOD 303 16 0 13 Jul 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 114 502 0 10 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 134 61 0 04 Jun 2021
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments Charlott Vallon Francesco Borrelli 68 15 0 13 May 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 182 54 0 23 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 107 107 0 03 Mar 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 227 137 0 23 Feb 2021
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging V. Bashyam J. Doshi G. Erus D. Srinivasan Ahmed Abdulkadir ... R. Nick David A. Wolk H. Shou I. Nasrallah Christos Davatzikos MedIm 71 18 0 11 Oct 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 109 82 0 16 Jul 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 219 399 0 17 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 120 170 0 16 Jun 2020
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 243 612 0 31 Oct 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 430 4,766 0 17 Feb 2017