atilberk / evidential-deep-learning-to-quantify-classification-uncertaintyView external linksLinks
Work on Evidential Deep Learning to Quantify Classification Uncertainty
☆60Jan 8, 2019Updated 7 years ago
Alternatives and similar repositories for evidential-deep-learning-to-quantify-classification-uncertainty
Users that are interested in evidential-deep-learning-to-quantify-classification-uncertainty are comparing it to the libraries listed below
Sorting:
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆512Jan 2, 2024Updated 2 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆509Aug 31, 2021Updated 4 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Apr 5, 2021Updated 4 years ago
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆30Sep 14, 2023Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Code for Paper "Evidential Softmax for Sparse MultimodalDistributions in Deep Generative Models"☆11Oct 25, 2021Updated 4 years ago
- Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach☆19Nov 17, 2025Updated 2 months ago
- Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)☆16Jul 3, 2025Updated 7 months ago
- 1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障☆15Jun 4, 2024Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- [ICCV 2021 Oral] Deep Evidential Action Recognition☆132Sep 4, 2023Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Aug 5, 2022Updated 3 years ago
- This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.135…☆14Jun 1, 2022Updated 3 years ago
- Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Seg…☆44Feb 4, 2025Updated last year
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Jul 7, 2022Updated 3 years ago
- A PyTorch Implementation of Focal Loss.☆15Mar 31, 2019Updated 6 years ago
- ☆42May 14, 2019Updated 6 years ago
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆19Nov 18, 2024Updated last year
- ☆68Dec 20, 2019Updated 6 years ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆19Nov 10, 2021Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Jan 11, 2023Updated 3 years ago
- Codes for IJCAI'2022 Paper: Zero-Shot Logit Adjustment☆19Jul 28, 2022Updated 3 years ago
- ☆23Dec 18, 2022Updated 3 years ago
- ☆25Dec 16, 2022Updated 3 years ago
- Joint Modelling Histology and Molecular Markers for Glioma Classification☆12Jun 4, 2025Updated 8 months ago
- Topological losses for spatially coherent CNN-based (multi-class) image segmentation in 2D and 3D☆29Feb 6, 2023Updated 3 years ago
- this repo is for Grand Challenge WSSS4LUAD, detail information about the contest is on https://wsss4luad.grand-challenge.org/WSSS4LUAD/☆20Apr 29, 2022Updated 3 years ago
- ☆24Apr 7, 2025Updated 10 months ago
- Winners of the TissueNet: Detect Lesions in Cervical Biopsies competition☆22Sep 7, 2023Updated 2 years ago
- The code of Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities☆23Jun 20, 2022Updated 3 years ago
- Official implementation of MICCAI2024 paper "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease …☆25Nov 21, 2024Updated last year
- EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms☆20Apr 17, 2023Updated 2 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Apr 27, 2021Updated 4 years ago
- This is the available code for the paper `An evidential classifier based on Dempster-Shafer theory and deep learning' (arXiv preprint arX…☆72Sep 24, 2022Updated 3 years ago
- Attention Based Deep 3D Multiple Instance Learning☆25Aug 1, 2020Updated 5 years ago