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Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
International Conference on Machine Learning (ICML), 2023
28 May 2023
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
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Papers citing
"Learning to Learn from APIs: Black-Box Data-Free Meta-Learning"
50 / 54 papers shown
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
Zixuan Hu
Li Shen
Zhenyi Wang
Yongxian Wei
Dacheng Tao
AAML
202
7
0
31 Oct 2025
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
International Conference on Machine Learning (ICML), 2025
Zixuan Hu
Yongxian Wei
Li Shen
Zhenyi Wang
Lei Li
Chun Yuan
Dacheng Tao
183
8
0
31 Oct 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
Computer Vision and Pattern Recognition (CVPR), 2025
Yongli Xiang
Ziming Hong
Lina Yao
Dadong Wang
Tongliang Liu
AAML
329
6
0
21 Mar 2025
A Watermark for Order-Agnostic Language Models
International Conference on Learning Representations (ICLR), 2024
Ruibo Chen
Yihan Wu
Yanshuo Chen
Chenxi Liu
Junfeng Guo
Heng Huang
WaLM
288
11
0
17 Oct 2024
De-mark: Watermark Removal in Large Language Models
Ruibo Chen
Yihan Wu
Junfeng Guo
Heng Huang
WaLM
VLM
353
11
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
243
9
0
02 Jun 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Alireza Aghasi
Saeed Ghadimi
351
7
0
29 Mar 2024
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Yongxian Wei
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
359
4
0
23 Nov 2023
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
International Conference on Machine Learning (ICML), 2023
Yihan Wu
Zhengmian Hu
Junfeng Guo
Hongyang R. Zhang
Heng-Chiao Huang
WaLM
349
48
0
11 Oct 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
468
11
0
20 Mar 2023
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
European Conference on Computer Vision (ECCV), 2022
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Dongling Zhan
Tiehang Duan
Mingchen Gao
OOD
CLL
215
21
0
03 Sep 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
International Conference on Machine Learning (ICML), 2022
Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
582
106
0
08 Jun 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
323
74
0
23 May 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
International Conference on Learning Representations (ICLR), 2022
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
379
41
0
27 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Lin Zhang
Li Shen
Liang Ding
Dacheng Tao
Ling-Yu Duan
FedML
290
395
0
17 Mar 2022
Black-Box Tuning for Language-Model-as-a-Service
International Conference on Machine Learning (ICML), 2022
Tianxiang Sun
Yunfan Shao
Hong Qian
Xuanjing Huang
Xipeng Qiu
VLM
617
339
0
10 Jan 2022
DENSE: Data-Free One-Shot Federated Learning
Neural Information Processing Systems (NeurIPS), 2021
Jie M. Zhang
Chen Chen
Yue Liu
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chunhua Shen
Chao Wu
FedML
DD
484
175
0
23 Dec 2021
Data-Free Neural Architecture Search via Recursive Label Calibration
European Conference on Computer Vision (ECCV), 2021
Zechun Liu
Zhiqiang Shen
Yun Long
Eric P. Xing
Kwang-Ting Cheng
Chas Leichner
306
9
0
03 Dec 2021
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
198
58
0
26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
400
38
0
26 Oct 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
451
20
0
29 Sep 2021
Few-Shot Learning with a Strong Teacher
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
346
74
0
01 Jul 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
International Conference on Machine Learning (ICML), 2021
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
580
945
0
20 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation
Gongfan Fang
Mingli Song
Xinchao Wang
Chen Shen
Xingen Wang
Xiuming Zhang
374
103
0
18 May 2021
Graph-Free Knowledge Distillation for Graph Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Xiang Deng
Zhongfei Zhang
268
79
0
16 May 2021
Meta-Learning with Neural Tangent Kernels
International Conference on Learning Representations (ICLR), 2021
Jiuxiang Gu
Zhenyi Wang
Jiayi Xian
Changyou Chen
Jinhui Xu
179
21
0
07 Feb 2021
Free Lunch for Few-shot Learning: Distribution Calibration
International Conference on Learning Representations (ICLR), 2021
Shuo Yang
Lu Liu
Min Xu
OODD
774
376
0
16 Jan 2021
Data-Free Model Extraction
Computer Vision and Pattern Recognition (CVPR), 2020
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
432
230
0
30 Nov 2020
Adaptive Task Sampling for Meta-Learning
European Conference on Computer Vision (ECCV), 2020
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
386
62
0
17 Jul 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
374
314
0
11 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Computer Vision and Pattern Recognition (CVPR), 2020
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
334
222
0
28 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Sanjay Kariyappa
A. Prakash
Moinuddin K. Qureshi
AAML
382
187
0
06 May 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
354
54
0
26 Dec 2019
Continuous Meta-Learning without Tasks
Neural Information Processing Systems (NeurIPS), 2019
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
390
82
0
18 Dec 2019
Meta-Learning without Memorization
International Conference on Learning Representations (ICLR), 2019
Mingzhang Yin
George Tucker
Mingyuan Zhou
Sergey Levine
Chelsea Finn
VLM
401
200
0
09 Dec 2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Yue Liu
Basel Alomair
AAML
364
508
0
17 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
351
379
0
12 Nov 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
International Conference on Learning Representations (ICLR), 2019
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
746
731
0
19 Sep 2019
Learning to Propagate for Graph Meta-Learning
Neural Information Processing Systems (NeurIPS), 2019
Lu Liu
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
427
105
0
11 Sep 2019
Meta-Learning with Implicit Gradients
Neural Information Processing Systems (NeurIPS), 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
681
973
0
10 Sep 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
Harkirat Singh Behl
A. G. Baydin
Juil Sock
258
73
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17 May 2019
Variational Information Distillation for Knowledge Transfer
SungSoo Ahn
S. Hu
Andreas C. Damianou
Neil D. Lawrence
Zhenwen Dai
451
729
0
11 Apr 2019
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
649
1,962
0
08 Apr 2019
Learning Student Networks via Feature Embedding
Hanting Chen
Yunhe Wang
Chang Xu
Chao Xu
Dacheng Tao
264
111
0
17 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
724
802
0
10 Dec 2018
Conditional Neural Processes
International Conference on Machine Learning (ICML), 2018
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCV
BDL
496
815
0
04 Jul 2018
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
717
736
0
07 Jun 2018
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Juil Sock
Andrea Vedaldi
ODL
550
1,046
0
21 May 2018
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo-Lopes
Stefano Fenu
Thad Starner
391
301
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19 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
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14,136
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09 Mar 2017
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