PanZiqiAI / disentangled-information-bottleneck
☆30Updated 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☆44Updated 2 years ago
- ☆48Updated 2 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- MLTI for ICLR 2022☆30Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Self-Supervised Dataset Distillation for Transfer Learning☆14Updated last year
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆61Updated 2 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- ☆42Updated 2 weeks ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆78Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆39Updated last year
- ATS for NeurIPS 2021☆22Updated 3 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆22Updated 4 years ago
- ☆36Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆26Updated last year
- ☆29Updated last year
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Updated 6 years ago
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- ☆26Updated 2 years ago
- 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
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆30Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 4 years ago