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In data-rich domains such as vision, language, and speech, deep learning prevails to deliver high-performance task-specific models and can even learn general task-agnostic representations for efficient finetuning to downstream tasks.
Language Models are Few-Shot Learners
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K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
Aharon, M.; Elad, M.; and Bruckstein, A. 2006 · 2006
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The UCR time series archive
Dau, H. A.; Bagnall, A.; Kamgar, K.; Yeh, C.-C. M.; Zhu, Y.; Gharghabi, S.; Ratanamahatana, C. A.; and Keogh, E. 2019 · 2019
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Adversarial Reprogramming of Neural Networks
Elsayed, G. F.; Goodfellow, I.; and Sohl-Dickstein, J. 2019 · 2019
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Adversarial Reprogramming of Text Classification Neural Networks
Neekhara, P.; Hussain, S.; Dubnov, S.; and Koushanfar, F. 2019 · 2019
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Reprogramming GANs via input noise design
Lee, K.; Suh, C.; and Ramchandran, K. 2020 · 2020
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A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Liu, S.; Chen, P.-Y.; Kailkhura, B.; Zhang, G.; Hero, A.; and Varshney, P. K. 2020 · 2020
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Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
Tsai, Y.-Y.; Chen, P.-Y.; and Ho, T.-Y. 2020 · 2020
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On the opportunities and risks of foundation models
Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A.; Brunskill, E.; et al. 2021 · 2021
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Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection
Chen, L.; Fan, Y.; and Ye, Y. 2021 · 2021
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WARP: Word-level Adversarial ReProgramming
Hambardzumyan, K.; Khachatrian, H.; and May, J. 2021 · 2021
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A survey on contrastive self-supervised learning
Jaiswal, A.; Babu, A. R.; Zadeh, M. Z.; Banerjee, D.; and Makedon, F. 2021 · 2021
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An Improved (Adversarial) Reprogramming Technique for Neural Networks
Kloberdanz, E.; Tian, J.; and Le, W. 2021 · 2021
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Pretrained transformers as universal computation engines
Lu, K.; Grover, A.; Abbeel, P.; and Mordatch, I. 2021 · 2021
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Adversarial Reprogramming of Neural Cellular Automata
Randazzo, E.; Mordvintsev, A.; Niklasson, E.; and Levin, M. 2021 · 2021
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Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Yang, C.-H. H.; Tsai, Y.-Y.; and Chen, P.-Y. 2021 · 2021
Cited alongside, same era.
Visual prompting: Modifying pixel space to adapt pre-trained models
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming
Arif, H.; Gittens, A.; and Chen, P.-Y. 2023 · 2023
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Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
Hung, Y.-N.; Yang, C.-H. H.; Chen, P.-Y.; and Lerch, A. 2023 · 2023
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Deep Graph Reprogramming
Jing, Y.; Yuan, C.; Ju, L.; Yang, Y.; Wang, X.; and Tao, D. 2023 · 2023
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Exploring the Benefits of Visual Prompting in Differential Privacy
Li, Y.; Tsai, Y.-L.; Ren, X.; Yu, C.-M.; and Chen, P.-Y. 2023 · 2023
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Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Melnyk, I.; Chenthamarakshan, V.; Chen, P.-Y.; Das, P.; Dhurandhar, A.; Padhi, I.; and Das, D. 2023 · 2023
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Bahng, H.; Jahanian, A.; Sankaranarayanan, S.; and Isola, P. 2022 · 2022
Cited alongside, same era.
Improved Input Reprogramming for GAN Conditioning
Dinh, T.; Seo, D.; Du, Z.; Shang, L.; and Lee, K. 2022 · 2022
Cited alongside, same era.
Cross-modal Adversarial Reprogramming
Neekhara, P.; Hussain, S.; Du, J.; Dubnov, S.; Koushanfar, F.; and McAuley, J. 2022 · 2022
Cited alongside, same era.
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Tang, Y.-C.; Chen, P.-Y.; and Ho, T.-Y. 2022 · 2022
Cited alongside, same era.
Fairness reprogramming
Zhang, G.; Zhang, Y.; Zhang, Y.; Fan, W.; Li, Q.; Liu, S.; and Chang, S. 2022 · 2022
Cited alongside, same era.
Visual prompting for adversarial robustness
Chen, A.; Lorenz, P.; Yao, Y.; Chen, P.-Y.; and Liu, S. 2023a
Cited in the paper.
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Chen, A.; Yao, Y.; Chen, P.-Y.; Zhang, Y.; and Liu, S. 2023b
Cited in the paper.
Sun, H.-L.; Hsiung, L.; Chandramoorthy, N.; Chen, P.-Y.; and Ho, T.-Y. 2023 · 2023
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Reprogramming Pretrained Language Models for Protein Sequence Representation Learning
Vinod, R.; Chen, P.-Y.; and Das, P. 2023 · 2023
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Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Xu, S.; Yao, J.; Luo, R.; Zhang, S.; Lian, Z.; Tan, M.; and Wang, Y. 2023 · 2023
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Neural model reprogramming with similarity based mapping for low-resource spoken command classification
Yen, H.; Ku, P.-J.; Yang, C.-H. H.; Hu, H.; Siniscalchi, S. M.; Chen, P.-Y.; and Tsao, Y. 2023 · 2023
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Why adversarial reprogramming works, when it fails, and how to tell the difference
Zheng, Y.; Feng, X.; Xia, Z.; Jiang, X.; Demontis, A.; Pintor, M.; Biggio, B.; and Roli, F. 2023 · 2023
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