BigGAN training with limited data using Transfer Learning, Data Augmentation and Conistency Regularization.
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Updated
Jul 27, 2022 - Python
BigGAN training with limited data using Transfer Learning, Data Augmentation and Conistency Regularization.
Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "
"MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization" by Yue Duan (TNNLS)
Source code for "Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series" paper.
Consistency Regularization for Adversarial Robustness (AAAI 2022)
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing (ACL 2022)
[NeurIPS 2023] NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation
Data Augmentation for Entity Matching using Consistency Learning
Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
Code for my paper "Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training"
Contains experimentation notebooks for my Keras Example "Consistency Training with Supervision".
Supplementary material and code for "Conformal Credal Self-Supervised Learning" as published at COPA 2021.
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
Learning from Label Proportions with Consistency Regularization
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
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