Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

25 November 2022

Pang Wei Koh

Papers citing "Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time"

18 / 18 papers shown

Title
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention Alexander Koebler Thomas Decker Ingo Thon Volker Tresp Florian Buettner 29 0 0 11 May 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu-Xiang Wang OOD 53 0 0 09 Apr 2025
Gradient Localization Improves Lifelong Pretraining of Language Models Jared Fernandez Yonatan Bisk Emma Strubell KELM 39 1 0 07 Nov 2024
Time is Encoded in the Weights of Finetuned Language Models Kai Nylund Suchin Gururangan Noah A. Smith AI4TS 31 17 0 20 Dec 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 29 2 0 18 Nov 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 48 7 0 28 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
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 36 0 0 19 May 2023
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 148 91 0 17 Jan 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 243 83 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 55 517 0 31 Aug 2021
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 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
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 202 243 0 14 Jun 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 309 36,371 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014