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Rapid Network Adaptation: Learning to Adapt Neural Networks Using
  Test-Time Feedback

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

27 September 2023
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
    TTA
    OOD
ArXivPDFHTML

Papers citing "Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback"

11 / 11 papers shown
Title
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Ming Cheng
Y. Wang
Deying Li
Chenhui Gou
Jianfei Cai
3DPC
87
0
0
15 Mar 2025
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
L. V. D. van der Maaten
Armand Joulin
Ishan Misra
209
222
0
20 Jan 2022
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Barbara Roessle
Jonathan T. Barron
B. Mildenhall
Pratul P. Srinivasan
Matthias Nießner
VGen
120
352
0
06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
A. Madry
36
14
0
15 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
231
573
0
22 Apr 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for
  Out-of-Distribution Robustness
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie
Ananya Kumar
Robbie Jones
Fereshte Khani
Tengyu Ma
Percy Liang
OOD
148
62
0
08 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
210
1,153
0
24 Oct 2016
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