awesome-neural-reprogramming-prompting
A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022
https://github.com/huckiyang/awesome-neural-reprogramming-prompting
Last synced: 19 days ago
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Neural Adapters in Decoder, Encoder, and Inputs
- Differentially Private Adapters for Parameter Efficient Acoustic Modeling - W. Ho et al.|[code](https://github.com/Chun-wei-Ho/)|Interspeech 2023|
- Parameter-Efficient Learning for Text-to-Speech Accent Adaptation - J. Yang et al.|[code](https://tts-research.github.io/)|Interspeech 2023|
- A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model - rkr/KAUST-Whisper-Adapter)|Interspeech 2023|
- A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model - rkr/KAUST-Whisper-Adapter)|Interspeech 2023|
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Neural Reprogramming or Adversarial Reprogramming or Offsite-Tuning
- Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization - |ACM MM Asia 2023|
- Offsite-Tuning: Transfer Learning without Full Model - han-lab/offsite-tuning)|arxiv 2023|
- Music Instrument Classification Reprogrammed - H. Chen et al.|-|MMM 2023|
- From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition - |ICASSP 2023|
- Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming - FL)|SaTML 2023|
- Fairness Reprogramming - nlp-chang/fairness-reprogramming)|NeurIPS 2022|
- Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming - N. Hung et al.|[code](https://github.com/biboamy/music-repro)|ICASSP 2023|
- Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling - |Arxiv 2022|
- Adversarial Reprogramming Revisited - |NeurIPS 2022|
- Rep-Net: Efficient On-Device Learning via Feature Reprogramming - ESIC-FAN-Lab/RepNet)|CVPR 2022|
- Improved Input Reprogramming for GAN Conditioning - |Arxiv 2022|
- Cross-modal Adversarial Reprogramming
- A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming
- WARP: Word-level Adversarial ReProgramming
- Voice2series: Reprogramming acoustic models for time series classification - Reprogramming)|ICML 2021|
- Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources - box-Adversarial-Reprogramming)|ICML 2020|
- Reprogramming GANs via Input Noise Design - |ECML 2019|
- Adversarial Reprogramming of Text Classification Neural Networks
- Adversarial reprogramming of neural networks
- Music Instrument Classification Reprogrammed - H. Chen et al.|-|MMM 2023|
- Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming - N. Hung et al.|[code](https://github.com/biboamy/music-repro)|ICASSP 2023|
- Offsite-Tuning: Transfer Learning without Full Model - han-lab/offsite-tuning)|arxiv 2023|
- Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling - |Arxiv 2022|
- Improved Input Reprogramming for GAN Conditioning - |Arxiv 2022|
- A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming
- Adversarial reprogramming of neural networks
- From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition - |ICASSP 2023|
- Voice2series: Reprogramming acoustic models for time series classification - Reprogramming)|ICML 2021|
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Input-Level Neural Model Prompting for Vision and Speech
- SPEECHPROMPT V2: PROMPT TUNING FOR SPEECH CLASSIFICATION TASKS - W. Chang et al. |[code](https://github.com/ga642381/SpeechPrompt)|Arxiv 2023|
- Understanding and Improving Visual Prompting: A Label-Mapping Perspective - |Arxiv 2022|
- AudioLM: a Language Modeling Approach to Audio Generation - |Arxiv 2022|
- WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models - |Arxiv 2022|
- An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks - W. Chang et al. |[code](https://github.com/ga642381/SpeechPrompt)|Interspeech 2022|
- Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models - |Arxiv 2022|
- SPEECHPROMPT V2: PROMPT TUNING FOR SPEECH CLASSIFICATION TASKS - W. Chang et al. |[code](https://github.com/ga642381/SpeechPrompt)|Arxiv 2023|
- WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models - |Arxiv 2022|
- An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks - W. Chang et al. |[code](https://github.com/ga642381/SpeechPrompt)|Interspeech 2022|
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Theory