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Adversarial Regularization as Stackelberg Game: An Unrolled Optimization
  Approach
v1v2v3 (latest)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
11 April 2021
Simiao Zuo
Chen Liang
Haoming Jiang
Xiaodong Liu
Pengcheng He
Jianfeng Gao
Weizhu Chen
T. Zhao
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach"

7 / 7 papers shown
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
Shivam Rawat
Lucie Flek
Akbar Karimi
151
0
0
11 Nov 2025
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level
  Optimization
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Qianli Shen
Yezhen Wang
Zhouhao Yang
Xiang Li
Haonan Wang
Yang Zhang
Jonathan Scarlett
Zhanxing Zhu
Kenji Kawaguchi
AI4CE
304
12
0
20 Jun 2024
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable AlgorithmsNeural Information Processing Systems (NeurIPS), 2023
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OODAAML
265
39
0
16 Oct 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
412
58
0
01 Aug 2023
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhehua Zhong
Tianyi Chen
Zhen Wang
AAML
155
7
0
27 Jun 2023
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
710
140
0
06 Oct 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of
  Bi-Level Optimization
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level OptimizationInternational Conference on Machine Learning (ICML), 2021
Yihua Zhang
Guanhua Zhang
Prashant Khanduri
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
782
103
0
23 Dec 2021
1
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