Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation

21 February 2020

Dmitry Vetrov

Papers citing "Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation"

45 / 45 papers shown

Title
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems Vivian Lin Insup Lee 33 0 0 18 Apr 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes Qi Wu Yingguang Yang Hao Liu Hao Peng Buyun He Yutong Xia Yong Liao AAML 61 0 0 11 Mar 2025
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation Trung-Hieu Hoang D. Vo Minh N. Do TTA AAML 94 0 0 02 Dec 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 40 0 0 04 Oct 2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time Chiao-An Yang Ziwei Liu Raymond A. Yeh 23 1 0 01 Oct 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 21 0 0 19 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 42 5 0 07 Sep 2024
Evidential Deep Partial Multi-View Classification With Discount Fusion Haojian Huang Zhe Liu S. Letchmunan Muhammet Deveci Mingwei Lin Weizhong Wang 40 4 0 23 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 42 2 0 01 Aug 2024
Intelligent Multi-View Test Time Augmentation Efe Ozturk M. Prabhushankar Ghassan AlRegib 21 3 0 12 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 38 1 0 01 Jun 2024
Test-Time Augmentation for Traveling Salesperson Problem Ryo Ishiyama Takahiro Shirakawa Seiichi Uchida Shinnosuke Matsuo 40 0 0 08 May 2024
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 33 3 0 03 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 50 24 0 29 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 50 5 0 25 Mar 2024
Reliable Conflictive Multi-View Learning Cai Xu Jiajun Si Ziyu Guan Wei Zhao Yue Wu Xiyue Gao 38 51 0 24 Feb 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Marzyeh Ghassemi Tom Hartvigsen 44 6 0 13 Feb 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 11 29 0 10 Feb 2024
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation Tuan-Anh Vu Srinjay Sarkar Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 31 1 0 22 Nov 2023
Using Artificial Populations to Study Psychological Phenomena in Neural Models Jesse Roberts Kyle Moore Drew Wilenzick Doug Fisher 17 6 0 15 Aug 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Yuheng Huang Jiayang Song Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 28 34 0 16 Jul 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Qinhong Zhou Zonghan Yang Peng Li Yang Liu 17 3 0 15 Jun 2023
Sampling-based Uncertainty Estimation for an Instance Segmentation Network Florian Heidecker A. El-khateeb Bernhard Sick UQCV 11 1 0 24 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 25 11 0 10 May 2023
Compensation Learning in Semantic Segmentation Timo Kaiser Christoph Reinders Bodo Rosenhahn NoLa 27 3 0 26 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei-Neng Chen Shuicheng Yan CLL TTA 29 3 0 13 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification Mohammad Reza Taesiri Giang Nguyen Sarra Habchi C. Bezemer Anh Totti Nguyen VLM 32 20 0 11 Apr 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 17 7 0 11 Apr 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation Devavrat Tomar Guillaume Vray Behzad Bozorgtabar Jean-Philippe Thiran TTA 20 32 0 17 Mar 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin Kuk Jin Jang Souradeep Dutta Michele Caprio O. Sokolsky Insup Lee OOD 26 6 0 20 Feb 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 11 4 0 05 Dec 2022
Exploring Train and Test-Time Augmentations for Audio-Language Learning Eungbeom Kim Jinhee Kim Yoori Oh Kyungsu Kim Minju Park Jaeheon Sim J. Lee Kyogu Lee 10 10 0 31 Oct 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 39 394 0 25 Mar 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 48 25 0 07 Feb 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 16 56 0 27 Jan 2022
MVDG: A Unified Multi-view Framework for Domain Generalization Jian Zhang Lei Qi Yinghuan Shi Yang Gao 18 29 0 23 Dec 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 14 299 0 18 Oct 2021
Geometric Data Augmentation Based on Feature Map Ensemble Takashi Shibata Masayuki Tanaka Masatoshi Okutomi 17 0 0 22 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,109 0 07 Jul 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 31 6 0 15 Jun 2021
Adaptive Test-Time Augmentation for Low-Power CPU Luca Mocerino R. G. Rizzo Valentino Peluso A. Calimera Enrico Macii TTA 17 4 0 13 May 2021
Better Aggregation in Test-Time Augmentation Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 7 145 0 23 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 18 90 0 22 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016