ZhenWang-PhD / Training-Noise-Robust-Deep-Neural-Networks-via-Meta-LearningLinks
Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’
☆20Updated 4 years ago
Alternatives and similar repositories for Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning
Users that are interested in Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning are comparing it to the libraries listed below
Sorting:
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 5 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆107Updated 3 years ago
- ☆61Updated 3 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆121Updated 2 years ago
- ☆60Updated 2 years ago
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆10Updated 4 years ago
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆25Updated 3 years ago
- Benchmarks for semi-supervised domain generalization.☆69Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated 3 weeks ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆41Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- Code accompanying "Adaptive Methods for Aggregated Domain Generalization"☆18Updated 3 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 4 months ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- ☆28Updated 3 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆165Updated 4 years ago
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆23Updated 3 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- [CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"☆75Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 5 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- Counterfactual Image Generation☆83Updated 5 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 4 years ago
- repository for Universal Domain Adaptation through Self-supervision☆124Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- ☆47Updated 3 years ago
- Repository for OVANet☆85Updated 3 years ago
- ☆49Updated last year