YoonyeongKim / LADA
Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)
☆14Updated 9 months ago
Alternatives and similar repositories for LADA:
Users that are interested in LADA are comparing it to the libraries listed below
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated 3 months ago
- ☆58Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- ☆22Updated 3 years ago
- ☆12Updated 2 years ago
- ☆23Updated 2 years ago
- ☆47Updated 2 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆28Updated last year
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆42Updated last year
- ☆29Updated last year
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406☆83Updated last year
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆32Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆76Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆43Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆54Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆51Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆27Updated 3 years ago
- The offical implement of ImbSAM (Imbalanced-SAM)☆23Updated 11 months ago
- ☆38Updated 3 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆58Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆88Updated 3 months ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆92Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 4 years ago