WARP

NLP Task Adaptation

An approach to transfer learning for NLP tasks using adversarial reprogramming and word-level task-specific embeddings.

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming GPT-3 on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

GitHub

83 stars
8 watching
16 forks
Language: Python
last commit: almost 5 years ago
adversarialfew-shot-learningnatural-language-processingpretrained-models

Related projects:

RepositoryDescriptionStars
wasidennis/adaptsegnetThis project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another.851
paarthneekhara/rnn_adversarial_reprogrammingRepurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs.6
prinsphield/adversarial_reprogrammingThis project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets.33
arunmallya/piggybackAdapting a single network to multiple tasks by learning to mask weights183
tristandeleu/pytorch-maml-rlReplication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks830
dodohow1011/speechadvreprogramDeveloping low-resource speech command recognition systems using adversarial reprogramming and transfer learning18
layneh/self-adaptive-trainingImproves deep network generalization under noise and enhances self-supervised representation learning127
sandeep42/anuvadaThis is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks.19
namisan/mt-dnnA PyTorch package implementing multi-task deep neural networks for natural language understanding2,238
rguthrie3/deeplearningfornlpinpytorchA comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction.1,942
guillaume-chevalier/sgnn-self-governing-neural-networks-projection-layerReproduces a SGNN's word projections preprocessing pipeline using word n-grams instead of skip-grams23
graal-research/poutyneA PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities572
akanimax/pro_gan_pytorchImplementation of a deep learning model for generating high-quality images with improved stability and variation.538
ashawkey/torch-ngpA PyTorch implementation of NeRF (Neural Radiance Fields) and related techniques for 3D rendering and reconstruction2,121
l0sg/relational-rnn-pytorchAn implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling245