Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

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)

[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022

PyTorch code for MUST

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation

[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.

Improving Human Activity Recognition through Self-training with Unlabeled Data

[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

Implementation of our paper "Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation" to appear in ACL-2021.

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

💬 Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"

Synthetic QA generation for long documents.