xieshuqin / Energy-OOD
Energy-based Out-of-distribution Detection
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Energy-OOD
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆31Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆16Updated last year
- Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)☆16Updated 2 years ago
- ☆28Updated last year
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆24Updated 4 years ago
- Pytorch implementation of Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation (CVPR'24)☆25Updated 4 months ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- ☆22Updated 11 months ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 2 years ago
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆33Updated 2 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆16Updated 3 years ago
- A code framework for implementing UniDA☆25Updated 11 months ago
- Official repository for Is your noise correction noisy? PLS: Robustness to label noise with two stage detection WACV 2023☆18Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆78Updated 6 months ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆36Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆37Updated 2 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆38Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- ☆16Updated 2 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆50Updated last year
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 2 years ago