PrateekMunjal / TorchALLinks
Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
☆67Updated last year
Alternatives and similar repositories for TorchAL
Users that are interested in TorchAL are comparing it to the libraries listed below
Sorting:
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆54Updated last year
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- ☆22Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 2 months ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- ☆44Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).☆20Updated 4 months ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆84Updated 2 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆48Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- ☆31Updated 2 months ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 4 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- ☆47Updated 2 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- Papers about long-tailed tasks☆89Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆102Updated 3 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆93Updated last year