jylins / hood
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for hood
- ☆18Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- ☆17Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆39Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆23Updated last year
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- ☆12Updated last year
- Quantile risk minimization☆24Updated 3 months ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆17Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆30Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Updated 3 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆25Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year
- Robust Optimal Transport code☆40Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- ☆30Updated 3 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆33Updated 3 weeks ago
- ☆35Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆35Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆37Updated 2 years ago