Mixture Data for Training Cannot Ensure Out-of-distribution
Generalization

Mixture Data for Training Cannot Ensure Out-of-distribution Generalization

25 December 2023

Bo Han

Papers citing "Mixture Data for Training Cannot Ensure Out-of-distribution Generalization"

18 / 18 papers shown

Title
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 76 70 0 10 May 2023
Change is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi OOD 51 105 0 23 Feb 2023
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 52 11 0 23 Aug 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 85 439 0 29 Jun 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li Kui Jia Lei Zhang OOD 89 166 0 15 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 109 669 0 21 Feb 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 72 117 0 27 Nov 2021
Deep Stable Learning for Out-Of-Distribution Generalization Xingxuan Zhang Peng Cui Renzhe Xu Linjun Zhou Yue He Zheyan Shen OOD 72 254 0 16 Apr 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 196 1,218 0 02 Mar 2021
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,137 0 02 Jul 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 539 4,773 0 23 Jan 2020
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 67 156 0 03 Nov 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan O. Arik Tomas Pfister TDI 80 179 0 25 Sep 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 63 201 0 24 May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 107 732 0 12 Dec 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 63 514 0 28 Apr 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,743 0 25 Oct 2017
Wide Residual Networks Sergey Zagoruyko N. Komodakis 322 7,971 0 23 May 2016