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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on
  Voronoi Diagram

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram

10 December 2024
Mingxi Lei
Chunwei Ma
Meng Ding
Yufan Zhou
Ziyun Huang
Jinhui Xu
ArXivPDFHTML

Papers citing "TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram"

20 / 20 papers shown
Title
Test-Time Training on Nearest Neighbors for Large Language Models
Test-Time Training on Nearest Neighbors for Large Language Models
Moritz Hardt
Yu Sun
VLM
RALM
75
25
0
29 May 2023
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
74
170
0
15 Sep 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
101
419
0
25 Mar 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
52
5
0
05 Feb 2022
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
41
252
0
30 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
80
88
0
03 Mar 2021
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
79
479
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
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
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
300
1,727
0
29 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
485
17,888
0
19 Jun 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
61
342
0
09 Apr 2020
Action Segmentation with Joint Self-Supervised Temporal Domain
  Adaptation
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
Min-Hung Chen
Baopu Li
Sid Ying-Ze Bao
G. Al-Regib
Z. Kira
TTA
94
122
0
05 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
93
1,238
0
20 Feb 2020
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain Adaptation
Hui Tang
Kui Jia
OOD
60
194
0
27 Nov 2019
MNIST-C: A Robustness Benchmark for Computer Vision
MNIST-C: A Robustness Benchmark for Computer Vision
Norman Mu
Justin Gilmer
52
209
0
05 Jun 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
148
3,423
0
28 Mar 2019
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
51
78
0
17 May 2018
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
312
7,971
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,467
0
28 May 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
374
20,528
0
10 Sep 2014
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