In Search of Lost Domain Generalization

2 July 2020

Papers citing "In Search of Lost Domain Generalization"

50 / 219 papers shown

Title
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 26 17 0 30 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 26 33 0 29 Oct 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 29 3 0 28 Oct 2023
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning Ananth Balashankar Xiao Ma Aradhana Sinha Ahmad Beirami Yao Qin Jilin Chen Alex Beutel 19 2 0 25 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 16 1 0 25 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 44 5 0 20 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 54 8 0 28 Sep 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift Valeriy Berezovskiy Nikita Morozov MoMe 19 1 0 20 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 23 5 0 20 Sep 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 21 3 0 28 Aug 2023
Spurious Correlations and Where to Find Them Gautam Sreekumar Vishnu Naresh Boddeti CML 18 3 0 21 Aug 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 84 1 0 17 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 32 12 0 11 Jul 2023
Shape Guided Gradient Voting for Domain Generalization Jiaqi Xu Yuwang Wang Xuejin Chen 12 0 0 19 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 24 6 0 15 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 24 8 0 31 May 2023
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization Pranav Ajit Nair Sukomal Pal Pradeepika Verm MoMe 28 2 0 26 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 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 26 7 0 25 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 13 8 0 22 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives T. Eerola Daniel Batrakhanov Nastaran Vatankhah Barazandeh K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen Jukka Seppälä T. Tamminen H. Kalviainen 13 11 0 19 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 28 0 0 19 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 29 11 0 19 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 21 64 0 18 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 19 2 0 04 Apr 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 31 2 0 02 Apr 2023
Progressive Random Convolutions for Single Domain Generalization Seokeon Choi Debasmit Das Sungha Choi Seunghan Yang Hyunsin Park Sungrack Yun 15 37 0 02 Apr 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 28 10 0 29 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization Sanqing Qu Yingwei Pan Guang-Sheng Chen Ting Yao Changjun Jiang Tao Mei 28 20 0 13 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 33 26 0 04 Mar 2023
Domain adaptation using optimal transport for invariant learning using histopathology datasets Kianoush Falahkheirkhah Alex X. Lu David Alvarez-Melis G. Huynh OOD MedIm 20 4 0 03 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 35 20 0 28 Feb 2023
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization Spandan Dey Md. Sahidullah G. Saha 13 11 0 10 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 42 8 0 06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 16 9 0 05 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 41 74 0 02 Feb 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 28 48 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 50 11 0 29 Jan 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 21 2 0 28 Jan 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 31 0 0 26 Jan 2023
Benchmark for Uncertainty & Robustness in Self-Supervised Learning H. Bui Iliana Maifeld-Carucci OOD 19 1 0 23 Dec 2022
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 27 2 0 21 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management Jun S. Song Kwanyong Park Inkyu Shin Sanghyun Woo Chaoning Zhang In So Kweon TTA 16 6 0 16 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation Wenyu Zhang Li Shen Chuan-Sheng Foo TTA AI4CE 26 15 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 29 13 0 14 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
PØDA: Prompt-driven Zero-shot Domain Adaptation Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Patrick Pérez Raoul de Charette VLM 36 45 0 06 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 16 18 0 04 Dec 2022