Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

28 May 2023

Papers citing "Learning to Learn from APIs: Black-Box Data-Free Meta-Learning"

11 / 11 papers shown

Title
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising Yongli Xiang Ziming Hong Lina Yao Dadong Wang Tongliang Liu AAML 43 1 0 21 Mar 2025
De-mark: Watermark Removal in Large Language Models Ruibo Chen Yihan Wu Junfeng Guo Heng Huang WaLM VLM 27 0 0 17 Oct 2024
A Watermark for Order-Agnostic Language Models Ruibo Chen Yihan Wu Yanshuo Chen Chenxi Liu Junfeng Guo Heng Huang WaLM 22 2 0 17 Oct 2024
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions Yihan Wu Ruibo Chen Zhengmian Hu Yanshuo Chen Junfeng Guo Hongyang R. Zhang Heng-Chiao Huang WaLM 40 5 0 02 Jun 2024
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models Yihan Wu Zhengmian Hu Junfeng Guo Hongyang R. Zhang Heng-Chiao Huang WaLM 23 22 0 11 Oct 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 100 53 0 23 May 2022
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 175 18 0 29 Sep 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 199 316 0 16 Jan 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 634 0 19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 664 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017