Title
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 39 0 0 21 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 29 16 0 19 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 26 2 0 19 Sep 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 35 0 0 18 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 27 10 0 15 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 38 36 0 15 Sep 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration Rachneet Sachdeva Martin Tutek Iryna Gurevych OODD 32 10 0 14 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations Jiao Zhang Xu-Yao Zhang Cheng-Lin Liu OOD 34 0 0 12 Sep 2023
On the detection of Out-Of-Distribution samples in Multiple Instance Learning Loïc Le Bescond Maria Vakalopoulou Stergios Christodoulidis Fabrice André Hugues Talbot OODD 14 0 0 11 Sep 2023
Zero-Shot Robustification of Zero-Shot Models Dyah Adila Changho Shin Lin Cai Frederic Sala 43 19 0 08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups Neha Kalibhat Sam Sharpe Jeremy Goodsitt Bayan Bruss S. Feizi 34 0 0 07 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems Sydney Pugh I. Ruchkin Insup Lee James Weimer AAML OOD 13 0 0 01 Sep 2023
Domain Generalization without Excess Empirical Risk Ozan Sener V. Koltun 18 8 0 30 Aug 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features Zijian Li Zehong Lin Jiawei Shao Yuyi Mao Jun Zhang OOD 31 10 0 30 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 34 3 0 28 Aug 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 21 19 0 24 Aug 2023
Domain Generalization via Rationale Invariance Liang Chen Yong Zhang Yibing Song Anton Van Den Hengel Lingqiao Liu OOD 21 12 0 22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 32 8 0 21 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 32 5 0 16 Aug 2023
REFORMS: Reporting Standards for Machine Learning Based Science Sayash Kapoor Emily F. Cantrell Kenny Peng Thanh Hien Pham C. Bail ... Matthew J. Salganik Marta Serra-Garcia Brandon M Stewart Gilles Vandewiele Arvind Narayanan 10 19 0 15 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 25 1 0 14 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 25 15 0 04 Aug 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models Yi Zhang Ce Zhang Yushun Tang Z. He VLM MLLM CLIP 39 15 0 28 Jul 2023
Understanding Silent Failures in Medical Image Classification Till J. Bungert L. Kobelke Paul F. Jaeger UQCV 30 4 0 27 Jul 2023
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 33 9 0 26 Jul 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness Vivek Ramanujan Thao Nguyen Sewoong Oh Ludwig Schmidt Ali Farhadi OOD 14 21 0 24 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation Haoyue Bai Ceyuan Yang Yinghao Xu Shueng-Han Gary Chan Bolei Zhou OODD 20 3 0 23 Jul 2023
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 32 20 0 20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 30 6 0 20 Jul 2023
Contextual Reliability: When Different Features Matter in Different Contexts Gaurav R. Ghosal Amrith Rajagopal Setlur Daniel S. Brown Anca Dragan Aditi Raghunathan 33 1 0 19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Cian Eastwood Shashank Singh Andrei Liviu Nicolicioiu Marin Vlastelica Julius von Kügelgen Bernhard Schölkopf OOD 26 17 0 19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 38 28 0 18 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 34 14 0 18 Jul 2023
Reflections from the Workshop on AI-Assisted Decision Making for Conservation Lily Xu Esther Rolf Sara Beery J. Bennett T. Berger-Wolf ... P. Moorcroft Jonathan Palmer Andrew Perrault D. Thau Milind Tambe 45 3 0 17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 95 1 0 17 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 24 17 0 15 Jul 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions Leo Klarner Tim G. J. Rudner M. Reutlinger Torsten Schindler Garrett M. Morris Charlotte M. Deane Yee Whye Teh OOD BDL 15 9 0 14 Jul 2023
Single Domain Generalization via Normalised Cross-correlation Based Convolutions Weiqin Chuah Ruwan Tennakoon R. Hoseinnezhad David Suter A. Bab-Hadiashar OOD 38 3 0 12 Jul 2023
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes Connor Toups Rishi Bommasani Kathleen A. Creel S. Bana Dan Jurafsky Percy Liang 32 8 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 40 12 0 11 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 24 6 0 10 Jul 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 23 11 0 28 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image Representations R. Darbinyan Hrayr Harutyunyan Aram H. Markosyan Hrant Khachatrian 32 2 0 22 Jun 2023
On Evaluation of Document Classification using RVL-CDIP Stefan Larson Gordon Lim Kevin Leach 36 3 0 21 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 21 14 0 21 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator Elysia Q. Smyers Sydney M. Katz Anthony Corso Mykel J. Kochenderfer AAML 32 4 0 19 Jun 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 72 53 0 19 Jun 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar Amit Deshpande Ajay Sharma CML 21 1 0 19 Jun 2023