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Robust Mixture-of-Expert Training for Convolutional Neural Networks

Robust Mixture-of-Expert Training for Convolutional Neural Networks

19 August 2023
Yihua Zhang
Ruisi Cai
Tianlong Chen
Guanhua Zhang
Huan Zhang
Pin-Yu Chen
Shiyu Chang
Zhangyang Wang
Sijia Liu
    MoE
    AAML
    OOD
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Papers citing "Robust Mixture-of-Expert Training for Convolutional Neural Networks"

19 / 19 papers shown
Title
Backdoor Attacks Against Patch-based Mixture of Experts
Backdoor Attacks Against Patch-based Mixture of Experts
Cedric Chan
Jona te Lintelo
S. Picek
AAML
MoE
58
0
0
03 May 2025
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
Wenrui Cai
Qingjie Liu
Y. Wang
MoE
60
0
0
24 Mar 2025
Tight Clusters Make Specialized Experts
Tight Clusters Make Specialized Experts
Stefan K. Nielsen
R. Teo
Laziz U. Abdullaev
Tan M. Nguyen
MoE
56
2
0
21 Feb 2025
Towards Adversarial Robustness of Model-Level Mixture-of-Experts
  Architectures for Semantic Segmentation
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
Svetlana Pavlitska
Enrico Eisen
J. Marius Zöllner
AAML
UQCV
MoE
88
1
0
16 Dec 2024
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Hanhui Wang
Yihua Zhang
Ruizheng Bai
Yue Zhao
Sijia Liu
Z. Tu
AAML
PICV
95
2
0
25 Nov 2024
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with
  System Co-Design
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
Ruisi Cai
Yeonju Ro
Geon-Woo Kim
Peihao Wang
Babak Ehteshami Bejnordi
Aditya Akella
Z. Wang
MoE
23
2
0
24 Oct 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
28
3
0
18 Oct 2024
Scaling Diffusion Transformers to 16 Billion Parameters
Scaling Diffusion Transformers to 16 Billion Parameters
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Debang Li
Junshi Huang
DiffM
MoE
54
15
0
16 Jul 2024
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with
  Sparse Mixture-of-Experts
MoE-RBench\texttt{MoE-RBench}MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen
Xinyu Zhao
Tianlong Chen
Yu Cheng
MoE
59
5
0
17 Jun 2024
Flextron: Many-in-One Flexible Large Language Model
Flextron: Many-in-One Flexible Large Language Model
Ruisi Cai
Saurav Muralidharan
Greg Heinrich
Hongxu Yin
Zhangyang Wang
Jan Kautz
Pavlo Molchanov
24
10
0
11 Jun 2024
A Foundation Model for Brain Lesion Segmentation with Mixture of
  Modality Experts
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
Xinru Zhang
N. Ou
Berke Doga Basaran
Marco Visentin
Mengyun Qiao
...
Ouyang Cheng
Yaou Liu
Paul M. Matthew
Chuyang Ye
Wenjia Bai
MedIm
24
4
0
16 May 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
33
2
0
18 Mar 2024
Revisiting the Trade-off between Accuracy and Robustness via Weight
  Distribution of Filters
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
Xingxing Wei
Shiji Zhao
Bo li
AAML
34
3
0
06 Jun 2023
Dataset Distillation via Factorization
Dataset Distillation via Factorization
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
124
137
0
30 Oct 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
147
323
0
18 Feb 2022
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
213
668
0
19 Oct 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
243
11,568
0
09 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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