PanZiqiAI / disentangled-information-bottleneck
☆29Updated 4 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
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- MLTI for ICLR 2022☆30Updated 2 years ago
- ☆48Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated 11 months ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆183Updated 6 years ago
- ☆42Updated 2 years ago
- ☆23Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆24Updated 4 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆118Updated 2 years ago
- PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tenso…☆14Updated 4 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆58Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆57Updated 3 years ago
- A Tensorflow implementation Mutual Information estimation methods☆46Updated last year
- ☆58Updated 2 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆9Updated 3 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆42Updated last year
- ☆64Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated last year
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- ☆13Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆25Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆95Updated last year
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆130Updated 4 years ago