clbonet / Flowing_Datasets_with_WoW_Gradient_FlowsLinks
Source code of our ICML 2025 paper "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows"
☆17Updated 6 months ago
Alternatives and similar repositories for Flowing_Datasets_with_WoW_Gradient_Flows
Users that are interested in Flowing_Datasets_with_WoW_Gradient_Flows are comparing it to the libraries listed below
Sorting:
- ☆14Updated 2 years ago
- ☆12Updated 9 months ago
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆21Updated 3 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- Implementation of Implicit Graphon Neural Representation☆12Updated 2 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆24Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- [Science Advances] Demographic Bias of Vision-Language Foundation Models in Medical Imaging☆21Updated 8 months ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆28Updated 2 years ago
- ☆13Updated 3 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- Code for “SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation(ICLR 2025)”☆22Updated last month
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Updated last year
- Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Le…☆12Updated 3 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated 3 weeks ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆22Updated 9 months ago
- Anonymized code for Igeood: An Information Geometry Approach to Out-of-Distribution Detection☆12Updated 3 years ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆19Updated 9 months ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 4 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Analysis of evidential models☆14Updated 2 years ago
- Code Repository for the NeurIPS 2021 paper: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic P…☆21Updated last year
- [NeurIPS 2022] A novel 1-Lipschitz network that can be efficiently trained to achieve certified L-infinity robustness for free!☆32Updated 3 years ago
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- ☆11Updated last year
- ☆18Updated 2 years ago
- [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"☆21Updated 3 years ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆51Updated last year