Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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Updated
May 10, 2024 - Python
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
Pay your attention into 1000 hours, and you can master anything you need.
Some interactive questions for Java beginners.
Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
Pytorch implementation of our paper: Adapting OCR with Limited Labels
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.
Improving Human Activity Recognition through Self-training with Unlabeled Data
PyTorch code for MUST
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Deep Bayesian Self-Training [official implementation]
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