Transfer Learning without Knowing: Reprogramming Black-box Machine
  Learning Models with Scarce Data and Limited Resources
v1v2 (latest)

Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources

International Conference on Machine Learning (ICML), 2020

Papers citing "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources"

50 / 71 papers shown
Title
When Does Visual Prompting Outperform Linear Probing for Vision-Language
  Models? A Likelihood Perspective
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Tsung-Yi Ho
195
0
0
03 Sep 2024
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Generalizing to Out-of-Sample Degradations via Model ReprogrammingIEEE Transactions on Image Processing (TIP), 2024
121
1
0
09 Mar 2024
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot
  Learning
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
133
27
0
09 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Instruct Me More! Random Prompting for Visual In-Context LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
115
26
0
07 Nov 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data AdaptorsNeural Information Processing Systems (NeurIPS), 2023
120
2
0
17 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and BenchmarkInternational Conference on Learning Representations (ICLR), 2023
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
167
27
0
12 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
191
38
0
29 Sep 2023
Efficient Black-Box Speaker Verification Model Adaptation with
  Reprogramming and Backend Learning
Efficient Black-Box Speaker Verification Model Adaptation with Reprogramming and Backend LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
109
1
0
24 Sep 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual PerceptionNeural Information Processing Systems (NeurIPS), 2023
210
19
0
01 Mar 2023

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