self-training

There are 2 repositories under self-training topic.

thuml / Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
domain-adaptation transfer-learning finetune unsupervised-domain-adaptation image-translation adversarial-learning deep-learning self-training semi-supervised-learning dann out-of-distribution-generalization
Language:Python 3126
cliang1453 / BOND
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
ner named-entity-recognition distant-supervision roberta open-domain self-training weakly-supervised-learning weak-supervision weakly-supervised bert pre-trained fine-tuning natural-language-processing nlp dataset
Language:Python 290
yzou2 / CRST
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
semi-supervised domain-adaptation self-training
Language:Python 227
LiheYoung / ST-PlusPlus
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
cvpr2022 self-training semi-supervised-learning semi-supervised-segmentation
Language:Python 223
moon-hotel / MachineLearningWithMe
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
machine-learning adaboost clustering machine-learning-algorithms naive-bayes python cart decision-tree-classifier kd-tree knn pca svm svm-classifier dbscan-clustering ensemble-learning gbdt hca hierarchical-clustering self-training
Language:Python 219
Tebmer / Awesome-Knowledge-Distillation-of-LLMs
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
data-augmentation instruction-following kd knowledge-distillation large-language-model llm self-training survey compression data-synthesis feedback multi-modal self-distillation alignment supervised-finetuning
214
yueyu1030 / COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
weak-supervision weakly-supervised-learning language-model fine-tuning self-training text-classification slot-filling sentence-pair-classification learning-with-noisy-labels contrastive-learning roberta agnews roberta-model pseudo-labeling dataset
Language:Python 198
yzou2 / CBST
Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18
computer-vision deep-learning domain-adaptation semantic-segmentation self-training
Language:Python 184
fcjian / PromptDet
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
computer-vision object-detection prompt-learning zero-shot-learning vocabulary regional-prompt self-training pseudo-labeling web-image clip novel-categories eccv2022
Language:Python 153
salesforce / MUST
PyTorch code for MUST
clip masked-image-modeling self-training unsupervised-learning zero-shot-classification zero-shot-learning
Language:Python 103
xiaolai / 1000-hours
Pay your attention into 1000 hours, and you can master anything you need.
education english literature parenting attention-training self-teaching self-training brain-exercise
Language:Jupyter Notebook 97
bupt-ai-cz / IAST-ECCV2020
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
self-training gta5 semantic-segmentation cityscapes unsupervised-machine-learning domain-adaptation synthia eccv2020
Language:Python 84
THU-DA-6D-Pose-Group / self6dpp
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
6d-pose-estimation object-pose-estimation object-pose-refinement self-supervised-learning self-training
Language:Python 80
520xyxyzq / slam-super-6d
SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation
object-pose-estimation object-slam pose-graph-optimization self-training semi-supervised-learning slam
Language:Python 67
yumeng5 / RoSTER
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
distant-supervision language-model named-entity-recognition ner noise-robust self-training weakly-supervised-learning
Language:Python 64
Deepayan137 / Adapting-OCR
Pytorch implementation of our paper: Adapting OCR with Limited Labels
domain-adaptation ocr self-training transfer-learning
Language:Jupyter Notebook 55
BatsResearch / menghini-neurips23-code
Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
clip prompt-tuning pseudolabels self-training vision-language-model
Language:Python 37
emadeldeen24 / ADAST
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
domain-adaptation sleep-stage-classification self-training self-attention deep-learning eeg attention-mechanism pseudo-label time-series transfer-learning
Language:Python 32
zjunlp / LREBench
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
low-resource lrebench relation-extraction few-shot information-extraction kg knowledge-graph long-tail prompt benchmark data-augmentation dataset re self-training efficient knowprompt data-augumentation chinese emnlp
Language:Python 32
wxjiao / UncSamp
Implementation of our paper "Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation" to appear in ACL-2021.
neural-machine-translation self-training translation-uncertainty
Language:Python 30
iantangc / SelfHAR
Improving Human Activity Recognition through Self-training with Unlabeled Data
har semi-supervised-learning unlabeled-data human-activity-recognition mobile-sensing self-training self-supervised-learning sensor-data deep-learning
Language:Python 29
zidik / Self-labeled-techniques-for-semi-supervised-learning
python semi-supervised-learning tri-training self-training self-labeled
Language:Jupyter Notebook 23
hhb072 / MOSS
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
cvpr cvpr2021 deraining rainremoval memory semi-supervised imagerestoration self-training
Language:Python 22
gicheonkang / gst-visdial
:speech_balloon: Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"
cvpr2023 self-training visual-dialog vision-and-language semi-supervised-learning
Language:Python 17
Kennethborup / self_distillation
Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
distillation kernel-ridge-regression knowledge-distillation resnet ridge-regression self-distillation self-training
Language:Jupyter Notebook 17
krasoffski / pytasks
Python tasks for self-study.
python self-training tasks
12
in-n-out
p-lambda / in-n-out
Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
out-of-distribution pre-training robustness self-training
Language:Python 12
ritaranx / NeST
[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.
agnews bert-fine-tuning few-shot-classifcation few-shot-learning molecule nlp nyt pseudo-labeling self-training text-classification
Language:Python 12
THU-EarthInformationScienceLab / Satellite-Instrument-NER
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
nlp natural-language-processing satellite instrument named-entity-recognition self-training ner bert earth-observation pre-trained distant-supervision fine-tuning roberta
12
RGX
luohongyin / RGX
Synthetic QA generation for long documents.
language-generation language-model question-answering self-training natural-language-processing nlp
Language:Python 11
fabio-deep / Deep-Bayesian-Self-Training
Deep Bayesian Self-Training [official implementation]
deep-learning bayesian-neural-networks self-training bayesian-inference keras uncertainty python densenet
Language:Python 9
nusnlp / S2T2
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
data-augmentation language-model question-answering self-training
Language:Python 9
wyxstriker / ReweightingDisfluency
Implementation of COLING 2022 paper "Adaptive Unsupervised Self-training for Disfluency Detection"
disfluency-detection self-training unsupervised-learning
Language:Python 7
mukhal / low-resource-seq-labeling
[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling
sequence-labeling zero-shot-learning self-training transfer-learning named-entity-recognition part-of-speech-tagging arabic-nlp dialects ner xlm
Language:Python 6
pducanh2000 / NoisyStudent-SelfTraining-InbedClassification
Applied NoisyStudent in training the task of Inbed Classification
knowledge-distillation noisy-student self-training
Language:Python 5
yifanzhang-pro / RelationMatch
Official implementation of paper "RelationMatch: Matching In-batch Relationships for Semi-supervised Learning" (https://arxiv.org/abs/2305.10397)
semi-supervised-learning unsupervised-learning self-supervised-learning self-training
Language:Python 4

self-training

thuml / Transfer-Learning-Library

cliang1453 / BOND

yzou2 / CRST

LiheYoung / ST-PlusPlus

moon-hotel / MachineLearningWithMe

Tebmer / Awesome-Knowledge-Distillation-of-LLMs

yueyu1030 / COSINE

yzou2 / CBST

fcjian / PromptDet

salesforce / MUST

xiaolai / 1000-hours

bupt-ai-cz / IAST-ECCV2020

THU-DA-6D-Pose-Group / self6dpp

520xyxyzq / slam-super-6d

yumeng5 / RoSTER

Deepayan137 / Adapting-OCR

BatsResearch / menghini-neurips23-code

emadeldeen24 / ADAST

zjunlp / LREBench

wxjiao / UncSamp

iantangc / SelfHAR

zidik / Self-labeled-techniques-for-semi-supervised-learning

hhb072 / MOSS

gicheonkang / gst-visdial

Kennethborup / self_distillation

krasoffski / pytasks

p-lambda / in-n-out

ritaranx / NeST

THU-EarthInformationScienceLab / Satellite-Instrument-NER

luohongyin / RGX

fabio-deep / Deep-Bayesian-Self-Training

nusnlp / S2T2

wyxstriker / ReweightingDisfluency

mukhal / low-resource-seq-labeling

pducanh2000 / NoisyStudent-SelfTraining-InbedClassification

yifanzhang-pro / RelationMatch