ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.08374
  4. Cited By
Adversarial Contrastive Learning via Asymmetric InfoNCE

Adversarial Contrastive Learning via Asymmetric InfoNCE

18 July 2022
Qiying Yu
Jieming Lou
Xianyuan Zhan
Qizhang Li
W. Zuo
Yang Liu
Jingjing Liu
    AAML
ArXivPDFHTML

Papers citing "Adversarial Contrastive Learning via Asymmetric InfoNCE"

13 / 13 papers shown
Title
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
83
1
0
18 Dec 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Yiwei Zhou
Xiaobo Xia
Zhiwei Lin
Bo Han
Tongliang Liu
VLM
36
10
0
21 Mar 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep
  Learning via Adversarial Training
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
L. Park
Jaeuk Kim
Myung Gyo Oh
Jaewoo Park
T.-H. Kwon
AAML
30
5
0
19 Feb 2024
Enhancing Robust Representation in Adversarial Training: Alignment and
  Exclusion Criteria
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria
Nuoyan Zhou
Nannan Wang
Decheng Liu
Dawei Zhou
Xinbo Gao
AAML
26
2
0
05 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework
Xilie Xu
Jingfeng Zhang
Mohan S. Kankanhalli
AAML
15
10
0
03 Oct 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
26
8
0
22 Aug 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant
  Regularization
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
27
10
0
30 Apr 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset
  Selection
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
17
15
0
08 Feb 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
33
18
0
02 Feb 2023
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
Color Channel Perturbation Attacks for Fooling Convolutional Neural
  Networks and A Defense Against Such Attacks
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
34
19
0
20 Dec 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
437
0
25 Sep 2019
1