Distribution Shift Inversion for Out-of-Distribution Prediction

14 June 2023

Songhua Liu

Papers citing "Distribution Shift Inversion for Out-of-Distribution Prediction"

29 / 29 papers shown

Title
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 35 0 0 15 Apr 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 92 0 0 09 Mar 2025
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS Seunghoi Kim Henry F. J. Tregidgo Matteo Figini Chen Jin Sarang Joshi Daniel C. Alexander MedIm 42 0 0 03 Mar 2025
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 53 2 0 15 Oct 2024
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation Yushun Tang Shuoshuo Chen Zhihe Lu Xinchao Wang Zhihai He 42 1 0 26 Aug 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization Mehrdad Noori Milad Cheraghalikhani Ali Bahri G. A. V. Hakim David Osowiechi Moslem Yazdanpanah Ismail Ben Ayed Christian Desrosiers 54 1 0 04 Jul 2024
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models Changjiang Li Ren Pang Bochuan Cao Jinghui Chen Fenglong Ma Shouling Ji Ting Wang DiffM 44 3 0 14 Jun 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching Xinyin Ma Gongfan Fang Michael Bi Mi Xinchao Wang 61 30 0 03 Jun 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization Songhua Liu Xin Jin Xingyi Yang Jingwen Ye Xinchao Wang OOD 54 1 0 01 Jun 2024
Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim Chen Jin Tom Diethe Matteo Figini Henry F. J. Tregidgo A. Mullokandov Philip Teare Daniel C. Alexander MedIm 33 5 0 09 Apr 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation Yun-Yun Tsai Fu-Chen Chen Albert Y. C. Chen Junfeng Yang Che-Chun Su Min Sun Cheng-Hao Kuo TTA AAML VLM OOD 44 6 0 29 Mar 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 31 1 0 15 Dec 2023
Generator Born from Classifier Runpeng Yu Xinchao Wang 35 4 0 05 Dec 2023
Priority-Centric Human Motion Generation in Discrete Latent Space Hanyang Kong Kehong Gong Dongze Lian Michael Bi Mi Xinchao Wang DiffM 37 51 0 28 Aug 2023
Diffusion Model as Representation Learner Xingyi Yang Xinchao Wang DiffM 34 55 0 21 Aug 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip Torr DiffM 29 12 0 21 Dec 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 140 142 0 30 Oct 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 779 0 27 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 218 422 0 16 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 233 1,358 0 24 Jan 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 222 121 0 07 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 519 0 06 Dec 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 517 0 31 Aug 2021
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 227 293 0 20 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 77 265 0 20 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 180 726 0 02 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 179 9,349 0 28 May 2015