There are 2 repositories under low-resource topic.
Let us democratise high-resolution generation! (CVPR 2024)
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
A Paper List of Low-resource Information Extraction
Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems (AAAI-2020)
Original PyTorch implementation for AAAI 2021 Paper "Meta-Transfer Learning for Low-Resrouce Abstractive Summarization."
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
Zero-shot Cross-lingual Task-Oriented Dialogue Systems (EMNLP 2019)
A low resource/dependency desktop for Linux From Scratch
Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)
Code of ICKG2020 best student paper: A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
EMNLP-2020: Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Official code for "Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models" to appear in WMT 2022.
In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks
Exploring ways to reduce Neural Machine Translation Memory and Computation through binarized networks
Source code for paper "PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration", Findings of IJCNLP-AACL 2023
A simple low resource terminal emulator for gtk2/3
[ICIP 2023] Exploring Self-Supervised Learning for Low-Resource Medical Image Analysis, IEEE Intl. Conf. on Image Processing (ICIP), 2023 (accepted)
Awesome Lao Natural Language Processing
This repository is an open-source colleciton of various low-resource machine translation experiments.
Original PyTorch implementation for ICCV 2023 Paper "SINC: Self-Supervised In-Context Learning for Vision-Language Tasks."
Ansible playbooks for configuring mail, web, and backup with low machine requirements
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Code + data for the EMNLP'20 publication "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages"
Original PyTorch implementation for TASLP 2022 Paper "SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization."