huckiyang / awesome-neural-reprogramming-promptingLinks
A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022
☆38Updated 2 years ago
Alternatives and similar repositories for awesome-neural-reprogramming-prompting
Users that are interested in awesome-neural-reprogramming-prompting are comparing it to the libraries listed below
Sorting:
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆13Updated 3 years ago
- DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning☆52Updated 2 years ago
- Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech und…☆43Updated 2 years ago
- Implementation of CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning☆48Updated 2 years ago
- Implementation of the model "AudioFlamingo" from the paper: "Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dial…☆40Updated last year
- **Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speec…☆102Updated 9 months ago
- Transformer-based visually grounded speech models☆19Updated 3 years ago
- Official code for Wav2Seq☆97Updated 3 years ago
- This Repository surveys the paper focusing on Prompting and Adapters for Speech Processing.☆112Updated 2 years ago
- Test-time adaptation for speech recognition model by single utterance. The official implementation of "Listen, Adapt, Better WER: Source-…☆20Updated 3 years ago
- LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT☆74Updated 3 years ago
- This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…☆38Updated last year
- 《SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks》Speech processing with prompting paradigm☆82Updated 2 years ago
- ☆17Updated last year
- ☆37Updated 3 years ago
- Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.☆68Updated 6 months ago
- Word Discovery in Visually Grounded, Self-Supervised Speech Models☆26Updated 2 years ago
- The dataset and baseline code for Text-to-Audio Grounding (TAG)☆49Updated 3 months ago
- Official release of StyleTalk dataset.☆72Updated last year
- INTERSPEECH 23 - Refunction Whisper to recognize new tasks with adapters!☆43Updated 2 years ago
- A Benchmark for Evaluating Turn-Taking and Overlap Handling in Full-Duplex Spoken Dialogue Models☆118Updated 4 months ago
- ☆41Updated 2 years ago
- A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models (ICASSP 2024)☆58Updated last year
- Official Implementation of "Prefix tuning for Automated Audio Captioning(ICASSP 2023)"☆31Updated 2 years ago
- An official repo for the paper "Adapting Language-Audio Models as Few-Shot Audio Learners"☆31Updated 2 years ago
- Unsupervised phone and word segmentation using dynamic programming on self-supervised VQ features.☆39Updated last year
- Official implementation of MelHuBERT☆68Updated last year
- Speech Security and Privacy Compendium - Mini☆10Updated last year
- Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clusterin…☆63Updated 2 years ago
- A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification☆34Updated 4 years ago