☆22May 16, 2022Updated 3 years ago
Alternatives and similar repositories for H-Divergence
Users that are interested in H-Divergence are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Jun 21, 2021Updated 4 years ago
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Jan 14, 2024Updated 2 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Aug 12, 2022Updated 3 years ago
- Featurized Density Ratio Estimation☆19Jul 11, 2021Updated 4 years ago
- A Pytorch Implementation of paper: "Neural Color Operators for Sequential Image Retouching", ECCV 2022☆10Oct 25, 2022Updated 3 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 3 years ago
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Dec 20, 2024Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- ☆15Sep 2, 2020Updated 5 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 5 years ago
- Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"☆12Oct 17, 2024Updated last year
- MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data …☆11May 31, 2024Updated last year
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 3 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.☆18Feb 26, 2019Updated 7 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago
- [NeurIPS 2025] Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking☆24Mar 18, 2026Updated last week
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Source Data of ACL2021 paper "Syntax-Enhanced Pre-trained Model"☆11Jun 1, 2021Updated 4 years ago
- ☆12Jul 8, 2023Updated 2 years ago
- (Unofficial) Tensorflow implementation of Adversarial Latent Autoencoder (ALAE, Pidhorskyi et al., 2020)☆11Sep 8, 2020Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Jun 6, 2024Updated last year
- ☆10Jun 12, 2021Updated 4 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆23Feb 25, 2024Updated 2 years ago
- This is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).☆20Aug 19, 2022Updated 3 years ago
- ☆12Mar 7, 2022Updated 4 years ago
- [ICML 2024] Self-Infilling Code Generation☆18May 5, 2024Updated last year
- The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"☆19Mar 26, 2020Updated 5 years ago
- Official code for the paper: "Metadata Archaeology"☆19May 10, 2023Updated 2 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Apr 21, 2023Updated 2 years ago
- Deep Generative Models (Chainer)☆10Oct 12, 2017Updated 8 years ago
- A nonparametric variational information bottleneck (NVIB) layer in Pytorch☆11Apr 15, 2025Updated 11 months ago
- Versatile Verification of Tree Ensembles☆20Mar 3, 2026Updated 3 weeks ago
- ☆17Mar 2, 2023Updated 3 years ago
- Code for NeurIPS 2022 Datasets and Benchmarks paper - EgoTaskQA: Understanding Human Tasks in Egocentric Videos.☆43Apr 17, 2023Updated 2 years ago