PanZiqiAI / disentangled-information-bottleneckLinks
☆33Updated 5 years ago
Alternatives and similar repositories for disentangled-information-bottleneck
Users that are interested in disentangled-information-bottleneck are comparing it to the libraries listed below
Sorting:
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆83Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆136Updated 5 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Updated last year
- ☆49Updated 3 years ago
- ☆44Updated 2 months ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆40Updated 2 years ago
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆41Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- ATS for NeurIPS 2021☆23Updated 4 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- ☆26Updated 2 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated 2 years ago
- Self-Supervised Dataset Distillation for Transfer Learning☆17Updated last year
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆32Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆210Updated 7 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆63Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆121Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- ☆14Updated 5 years ago
- Implementation of Contrastive Learning with Adversarial Examples☆29Updated 5 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆69Updated 4 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 4 months ago