khainb / EBSW
Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
☆15Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for EBSW
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆12Updated 9 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 8 months ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆21Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆26Updated 3 weeks ago
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆13Updated last year
- Pytorch implementation of TDPM☆31Updated last year
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆43Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆11Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- ☆10Updated 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…☆15Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆55Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆46Updated 6 months ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆47Updated 11 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆18Updated 8 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated 11 months ago
- ☆19Updated 3 years ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆10Updated 8 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆57Updated last year
- Test-Time Adaptation via Conjugate Pseudo-Labels☆38Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Analysis of evidential models☆11Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆59Updated 2 years ago
- ☆25Updated last year
- This repository contains the code for our ECCV 2022 paper on our "Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning".☆11Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year