ML-GSAI / Understanding-GDA
Towards understanding modern generative data augmentation techniques.
☆22Updated last year
Related projects: ⓘ
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆36Updated 8 months ago
- Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)☆39Updated 5 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆14Updated 5 months ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆18Updated 6 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated 9 months ago
- Official implementation for "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications".☆15Updated last year
- ☆24Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆47Updated last year
- Elucidating The Design Space of Classifier-Guided Diffusion Generation☆21Updated 7 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆74Updated 5 months ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆27Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆59Updated 3 months 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…☆13Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆42Updated 4 months ago
- ☆16Updated last year
- Respect to the input tensor instead of paramters of NN☆15Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆49Updated 5 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆17Updated 6 months ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆26Updated 3 months ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆32Updated last year
- ☆39Updated last year
- [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition☆39Updated 2 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- Denoising Masked Autoencoders Help Robust Classification.☆57Updated last year
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆21Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆75Updated 8 months ago
- ☆18Updated 2 years ago
- Towards Unified and Effective Domain Generalization☆28Updated 9 months ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆21Updated last year