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IT $^3$ : Idempotent Test-Time Training

5 October 2024

Papers citing "IT$^3$: Idempotent Test-Time Training"

38 / 38 papers shown

Title
Who Said Neural Networks Aren't Linear? Nimrod Berman Assaf Hallak Assaf Shocher 60 1 0 09 Oct 2025
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Jonas Hübotter Patrik Wolf Alexander Shevchenko Dennis Jüni Andreas Krause Gil Kur 96 0 0 29 Sep 2025
Learning from Streaming Video with Orthogonal GradientsComputer Vision and Pattern Recognition (CVPR), 2025 Tengda Han Dilara Gokay Joseph Heyward Chuhan Zhang Daniel Zoran Viorica Patraucean João Carreira Dima Damen Andrew Zisserman 193 4 0 02 Apr 2025
Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 569 10 0 25 Mar 2024
Test-Time Adaptation for Depth CompletionComputer Vision and Pattern Recognition (CVPR), 2024 Hyoungseob Park Anjali Gupta Alex Wong TTA VLM 264 22 0 05 Feb 2024
Idempotent Generative NetworkInternational Conference on Learning Representations (ICLR), 2023 Assaf Shocher Amil Dravid Yossi Gandelsman Inbar Mosseri Michael Rubinstein Alexei A. Efros 140 19 0 02 Nov 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 247 349 0 27 Mar 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeNeural Information Processing Systems (NeurIPS), 2022 Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 159 96 0 25 Nov 2022
ActMAD: Activation Matching to Align Distributions for Test-Time-TrainingComputer Vision and Pattern Recognition (CVPR), 2022 M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 164 38 0 23 Nov 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings Nikita Durasov Nik Dorndorf Pascal Fua VLM 110 5 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 203 14 0 21 Nov 2022
Test-Time Training with Masked AutoencodersNeural Information Processing Systems (NeurIPS), 2022 Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 203 210 0 15 Sep 2022
Efficient Test-Time Model Adaptation without ForgettingInternational Conference on Machine Learning (ICML), 2022 Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Zhuliang Yu OOD VLM TTA 219 454 0 06 Apr 2022
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021 Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 1.3K 9,484 0 11 Nov 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 364 416 0 18 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization Nikita Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 127 16 0 28 Sep 2021
Masksembles for Uncertainty EstimationComputer Vision and Pattern Recognition (CVPR), 2020 Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 150 95 0 15 Dec 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 821 2,037 0 29 Jun 2020
Deep Ordinal Regression with Label Diversity Axel Berg Magnus Oskarsson Mark O'Connor 151 56 0 29 Jun 2020
MeshSDF: Differentiable Iso-Surface Extraction Edoardo Remelli Artem Lukoianov Stephan R. Richter Benoît Guillard Timur M. Bagautdinov Pierre Baqué Pascal Fua 226 162 0 06 Jun 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningInternational Conference on Learning Representations (ICLR), 2020 Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 383 527 0 17 Feb 2020
Recurrent U-Net for Resource-Constrained SegmentationIEEE International Conference on Computer Vision (ICCV), 2019 Wei Wang Kaicheng Yu Joachim Hugonot Pascal Fua Mathieu Salzmann 3DV SSeg 103 114 0 11 Jun 2019
SinGAN: Learning a Generative Model from a Single Natural ImageIEEE International Conference on Computer Vision (ICCV), 2019 Tamar Rott Shaham Tali Dekel T. Michaeli GAN VLM 330 896 0 02 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 533 3,839 0 28 Mar 2019
Rank consistent ordinal regression for neural networks with application to age estimation Wenzhi Cao Vahid Mirjalili S. Raschka 446 248 0 20 Jan 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors Yossi Gandelsman Assaf Shocher Michal Irani 155 338 0 02 Dec 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 412 441 0 01 Jun 2018
RoadTracer: Automatic Extraction of Road Networks from Aerial Images Favyen Bastani Songtao He Sofiane Abbar Mohammad Alizadeh H. Balakrishnan Sanjay Chawla Samuel Madden D. DeWitt 174 330 0 11 Feb 2018
"Zero-Shot" Super-Resolution using Deep Internal Learning Assaf Shocher Nadav Cohen Michal Irani SupR 185 911 0 17 Dec 2017
Deep Layer Aggregation Feng Yu Yi Xu Evan Shelhamer Trevor Darrell AI4CE FAtt 380 1,434 0 20 Jul 2017
Age Progression/Regression by Conditional Adversarial AutoencoderComputer Vision and Pattern Recognition (CVPR), 2017 Zhifei Zhang Yang Song Hairong Qi GAN CVBM 242 1,202 0 27 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 1.3K 6,499 0 05 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 852 8,463 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 963 1,882 0 25 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.3K 211,628 0 10 Dec 2015
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 345 5,959 0 09 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 459 5,828 0 23 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningInternational Conference on Machine Learning (ICML), 2015 Y. Gal Zoubin Ghahramani UQCV BDL 1.6K 10,316 0 06 Jun 2015

IT3^33: Idempotent Test-Time Training

Papers citing "IT$^3$: Idempotent Test-Time Training"

IT $^3$ : Idempotent Test-Time Training