Optimal Representations for Covariate Shift

31 December 2021

Papers citing "Optimal Representations for Covariate Shift"

46 / 46 papers shown

Title
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models Jiachen Liang Ruibing Hou Minyang Hu Hong Chang Shiguang Shan Xilin Chen VLM 36 1 0 11 Nov 2024
PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization Haoran Zhang Shuanghao Bai Wanqi Zhou Jingwen Fu Badong Chen VLM OOD TTA 23 2 0 21 Sep 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 38 0 0 25 Jul 2024
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Mitsuhiro Fujikawa Yohei Akimoto Jun Sakuma Kazuto Fukuchi 35 0 0 27 May 2024
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization Yunlong Tang Yuxuan Wan Lei Qi Xin Geng VLM 33 4 0 25 Mar 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 68 1 0 31 Jan 2024
Prompt-driven Latent Domain Generalization for Medical Image Classification Siyuan Yan Chi Liu Zhen Yu Lie Ju Dwarikanath Mahapatra B. Betz‐Stablein Victoria Mar Monika Janda Peter Soyer Zongyuan Ge OOD VLM MedIm 35 7 0 05 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 34 1 0 29 Dec 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 24 63 0 14 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 27 13 0 03 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 81 62 0 30 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 23 1 0 25 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 35 0 0 10 Oct 2023
Domain Generalization via Rationale Invariance Liang Chen Yong Zhang Yibing Song A. Hengel Lingqiao Liu OOD 21 12 0 22 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation Bin Lu Xiaoying Gan Ze Zhao Shiyu Liang Luoyi Fu Xinbing Wang Cheng Zhou 27 6 0 16 Aug 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Junhyeong Cho Gilhyun Nam Sungyeon Kim Hunmin Yang Suha Kwak VLM OOD TTA 19 48 0 27 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 89 1 0 17 Jul 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 18 18 0 14 Jun 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 28 7 0 25 May 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 19 46 0 10 Apr 2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition Siyuan Yan Chih-Chen Liu Zhen Yu Lie Ju Dwarikanath Mahapatrainst Victoria Mar Monika Janda Peter Soyer Z. Ge ViT MedIm VLM 41 9 0 04 Apr 2023
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection N. H. Chapman Feras Dayoub Will N. Browne Christopher F. Lehnert 14 7 0 13 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition Yann Dubois Tatsunori Hashimoto Percy Liang 14 9 0 06 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 50 8 0 06 Feb 2023
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 24 15 0 18 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning Y. Liu Chris Xing Tian Haoliang Li Shiqi Wang 18 1 0 13 Nov 2022
A picture of the space of typical learnable tasks Rahul Ramesh J. Mao Itay Griniasty Rubing Yang H. Teoh M. Transtrum J. Sethna Pratik Chaudhari SSL DRL 36 4 0 31 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 116 0 20 Oct 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data Ching-Yun Ko Pin-Yu Chen Jeet Mohapatra Payel Das Lucani E. Daniel 19 3 0 06 Oct 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois Tatsunori Hashimoto Stefano Ermon Percy Liang SSL 73 40 0 13 Sep 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization Simone Angarano Mauro Martini Francesco Salvetti Vittorio Mazzia Marcello Chiaberge OOD 30 12 0 02 Sep 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Zining Zhu Soroosh Shahtalebi Frank Rudzicz 21 4 0 25 Aug 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
Grounding Visual Representations with Texts for Domain Generalization Seonwoo Min Nokyung Park Siwon Kim Seunghyun Park Jinkyu Kim OOD 6 34 0 21 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning Shibani Santurkar Yann Dubois Rohan Taori Percy Liang Tatsunori Hashimoto CLIP VLM 19 41 0 15 Jul 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 29 10 0 26 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 196 128 0 19 May 2022
Domain Adaptation meets Individual Fairness. And they get along Debarghya Mukherjee Felix Petersen Mikhail Yurochkin Yuekai Sun FaML 19 16 0 01 May 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 28 75 0 17 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 314 0 06 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 24 29 0 18 Mar 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization Renzhe Xu Xingxuan Zhang Zheyan Shen Tong Zhang Peng Cui OOD 24 26 0 03 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
Multimodal Self-Supervised Learning of General Audio Representations Luyu Wang Pauline Luc Adrià Recasens Jean-Baptiste Alayrac Aaron van den Oord SSL 78 41 0 26 Apr 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009