Learning Loss for Test-Time Augmentation

22 October 2020

Papers citing "Learning Loss for Test-Time Augmentation"

47 / 47 papers shown

Title
Prompting Neural-Guided Equation Discovery Based on ResidualsIFIP Working Conference on Database Semantics (IWDS), 2025 Jannis Brugger Viktor Pfanschilling David Richter Mira Mezini Stefan Kramer 65 0 0 05 Nov 2025
Does Homophily Help in Robust Test-time Node Classification? Yan Jiang Ruihong Qiu Zi Huang 80 0 0 25 Oct 2025
Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning Pîrvu Mihai-Cristian Leordeanu Marius 122 1 0 11 Oct 2025
Efficient Test-Time Scaling for Small Vision-Language Models Mehmet Onurcan Kaya Desmond Elliott Dim P. Papadopoulos VLM 130 2 0 03 Oct 2025
Test-time augmentation improves efficiency in conformal predictionComputer Vision and Pattern Recognition (CVPR), 2025 Divya Shanmugam H. Lu Swami Sankaranarayanan John Guttag 473 1 0 28 May 2025
Test-Time Augmentation for Pose-invariant Face RecognitionIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025 Jaemin Jung Youngjoon Jang Joon Son Chung CVBM 181 1 0 14 May 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context AlignmentInternational Conference on Learning Representations (ICLR), 2025 Minh-Quan Le Gaurav Mittal Tianjian Meng A S M Iftekhar Vishwas Suryanarayanan Barun Patra Dimitris Samaras Mei Chen DiffM 320 0 0 07 Feb 2025
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-TimeEuropean Conference on Computer Vision (ECCV), 2024 Chiao-An Yang Ziwei Liu Raymond A. Yeh 144 1 0 01 Oct 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 211 2 0 19 Sep 2024
Intelligent Multi-View Test Time Augmentation Efe Ozturk Mohit Prabhushankar Ghassan AlRegib 186 4 0 12 Jun 2024
Just rotate it! Uncertainty estimation in closed-source models via multiple queries Konstantinos Pitas Julyan Arbel UQCV 138 0 0 22 May 2024
Test-Time Augmentation for Traveling Salesperson Problem Ryo Ishiyama Takahiro Shirakawa Seiichi Uchida Shinnosuke Matsuo 138 0 0 08 May 2024
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 201 7 0 03 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 297 60 0 29 Mar 2024
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching Shohei Enomoto Naoya Hasegawa Kazuki Adachi Taku Sasaki Shin'ya Yamaguchi Satoshi Suzuki Takeharu Eda OOD UQCV 276 3 0 26 Mar 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification Puru Vaish Shunxin Wang N. Strisciuglio 224 19 0 04 Mar 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Elisa Kreiss Tom Hartvigsen 289 7 0 13 Feb 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 146 44 0 10 Feb 2024
Test-Time Augmentation for 3D Point Cloud Classification and SegmentationInternational Conference on 3D Vision (3DV), 2023 Tuan-Anh Vu Srinjay Sarkar Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 289 2 0 22 Nov 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time AugmentationNeural Information Processing Systems (NeurIPS), 2023 Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 232 29 0 01 Oct 2023
Online Continual Learning for Robust Indoor Object RecognitionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Umberto Michieli Mete Ozay 211 10 0 19 Jul 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationIEEE Transactions on Medical Imaging (TMI), 2023 Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 142 6 0 30 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 471 21 0 10 May 2023
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge Ke-Jia Chen Liangyan Li Huan Liu Yunzhe Li Congling Tang Jun Chen 164 20 0 25 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationNeural Information Processing Systems (NeurIPS), 2023 Mohammad Reza Taesiri Giang Nguyen Sarra Habchi Cor-Paul Bezemer Anh Totti Nguyen VLM 260 26 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 161 7 0 11 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsInternational Journal of Computer Vision (IJCV), 2023 Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 280 360 0 27 Mar 2023
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates M. Eggen A. Midtfjord 114 3 0 14 Mar 2023
Test-Time Distribution Normalization for Contrastively Learned Vision-language ModelsNeural Information Processing Systems (NeurIPS), 2023 Yi Zhou Juntao Ren Fengyu Li Ramin Zabih Ser-Nam Lim VLM 184 21 0 22 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning ModelsConference on Learning for Dynamics & Control (L4DC), 2023 Vivian Lin Kuk Jin Jang Souradeep Dutta Michele Caprio O. Sokolsky Insup Lee OOD 260 8 0 20 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 301 2 0 02 Feb 2023
Dynamic Test-Time Augmentation via Differentiable FunctionsIEEE Access (IEEE Access), 2022 Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 285 7 0 09 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 136 16 0 31 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional TransformationEuropean Conference on Computer Vision (ECCV), 2022 Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 132 14 0 26 Oct 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jaehoon Oh Jongwoo Ko Se-Young Yun 151 9 0 18 Oct 2022
Learning Instance-Specific Augmentations by Capturing Local InvariancesInternational Conference on Machine Learning (ICML), 2022 Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 371 14 0 31 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 228 10 0 13 May 2022
Regularising for invariance to data augmentation improves supervised learning Aleksander Botev Matthias Bauer Soham De 143 14 0 07 Mar 2022
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation Seffi Cohen Niv Goldshlager Lior Rokach Bracha Shapira 107 9 0 29 Oct 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 123 33 0 29 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed RecognitionNeural Information Processing Systems (NeurIPS), 2021 Yifan Zhang Bryan Hooi Lanqing Hong Jiashi Feng 259 168 0 20 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 495 1,432 0 07 Jul 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 152 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 105 4 0 13 May 2021
Robustness via Cross-Domain EnsemblesIEEE International Conference on Computer Vision (ICCV), 2021 Teresa Yeo Oğuzhan Fatih Kar Alexander Sax Amir Zamir UQCV OOD 192 31 0 19 Mar 2021
Hierarchical Attention-based Age Estimation and Bias EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Shakediel Hiba Y. Keller CVBM 162 15 0 17 Mar 2021
Better Aggregation in Test-Time AugmentationIEEE International Conference on Computer Vision (ICCV), 2020 Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 199 177 0 23 Nov 2020