In Search of Lost Domain Generalization

2 July 2020

Papers citing "In Search of Lost Domain Generalization"

26 / 226 papers shown

Title
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 35 37 0 07 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 20 95 0 05 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 15 59 0 04 Jun 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern H. Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 41 72 0 12 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey A. Hengel 23 86 0 12 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 24 39 0 09 May 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 62 264 0 20 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 19 26 0 06 Apr 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 21 59 0 20 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 48 980 0 03 Mar 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 54 1,169 0 02 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 30 13 0 23 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 11 151 0 20 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani J. Leskovec Connor W. Coley Cao Xiao Jimeng Sun Marinka Zitnik OOD LM&MA 25 261 0 18 Feb 2021
Rethinking Domain Generalization Baselines Francesco Cappio Borlino A. DÍnnocente Tatiana Tommasi OOD 19 40 0 22 Jan 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 169 30 0 12 Jan 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 43 24 0 19 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 19 104 0 03 Nov 2020
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 27 79 0 30 Oct 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 215 404 0 12 Mar 2020
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
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition A. Schmaltz 16 8 0 04 Jun 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017