Learning from Label Proportions with Consistency Regularization
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Updated
Dec 20, 2020 - Python
Learning from Label Proportions with Consistency Regularization
Contains experimentation notebooks for my Keras Example "Consistency Training with Supervision".
Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
Consistency Regularization for Adversarial Robustness (AAAI 2022)
Data Augmentation for Entity Matching using Consistency Learning
Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing (ACL 2022)
[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
BigGAN training with limited data using Transfer Learning, Data Augmentation and Conistency Regularization.
End-to-End Semi-Supervised Learning for Video Action Detection [CVPR 2022]
[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
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)
Source code for "Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series" paper.
[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation
[NeurIPS 2023] NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
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 to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
Code for my paper "Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training"
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