archinetai / smart-pytorchLinks
PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.
☆62Updated 3 years ago
Alternatives and similar repositories for smart-pytorch
Users that are interested in smart-pytorch are comparing it to the libraries listed below
Sorting:
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆48Updated 3 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆205Updated 3 years ago
- Implementation of Mixout with PyTorch☆75Updated 2 years ago
- Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers☆49Updated 2 years ago
- [EMNLP 2021] Improving and Simplifying Pattern Exploiting Training☆153Updated 3 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆144Updated 4 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- State of the art Semantic Sentence Embeddings☆99Updated 3 years ago
- ☆59Updated 4 years ago
- ☆68Updated 6 months ago
- Code for EMNLP 2021 paper: "Is Everything in Order? A Simple Way to Order Sentences"☆42Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆52Updated 2 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- ☆117Updated 3 years ago
- The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)☆53Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"☆296Updated 3 years ago
- This is the official implementation of NeurIPS 2021 "One Question Answering Model for Many Languages with Cross-lingual Dense Passage Ret…☆71Updated 3 years ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.☆50Updated 4 years ago
- 🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrie…☆49Updated 3 years ago
- Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".☆65Updated 4 years ago
- Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations☆134Updated 3 months ago
- Research framework for low resource text classification that allows the user to experiment with classification models and active learning…☆101Updated 3 years ago
- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples☆25Updated 5 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆93Updated 3 years ago
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆98Updated 3 years ago
- ☆54Updated 2 years ago
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆117Updated 2 years ago
- Multi-task modelling extensions for huggingface transformers☆21Updated 2 years ago
- Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…☆138Updated 2 years ago