Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
☆68Mar 29, 2023Updated 2 years ago
Alternatives and similar repositories for Wild-Time
Users that are interested in Wild-Time are comparing it to the libraries listed below
Sorting:
- LISA for ICML 2022☆52Apr 12, 2023Updated 2 years ago
- ☆23Jun 15, 2022Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Jan 31, 2023Updated 3 years ago
- [CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations☆12Sep 4, 2024Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 5 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Jul 10, 2023Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Mar 21, 2022Updated 3 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Jul 12, 2024Updated last year
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…☆17Mar 18, 2024Updated last year
- ☆110Sep 20, 2023Updated 2 years ago
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆38Jan 25, 2024Updated 2 years ago
- ☆37Apr 16, 2021Updated 4 years ago
- Test-Time Label-Shift Adaptation☆13May 24, 2023Updated 2 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆136May 19, 2023Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Dec 3, 2022Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Feb 20, 2020Updated 6 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Nov 27, 2023Updated 2 years ago
- ☆44Oct 30, 2025Updated 4 months ago
- ☆11Apr 14, 2022Updated 3 years ago
- Utility functions for weights and biases (wandb).☆11Sep 17, 2024Updated last year
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- [JMLR] Gradual Domain Adaptation: Theory and Algorithms☆11Jan 14, 2025Updated last year
- ☆23Feb 8, 2022Updated 4 years ago
- ☆11Mar 20, 2023Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Jan 21, 2024Updated 2 years ago
- A benchmark of meaningful graph datasets with tabular node features☆14Oct 29, 2025Updated 4 months ago
- ☆29Oct 18, 2022Updated 3 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Feb 25, 2024Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆592Jan 26, 2024Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72May 18, 2024Updated last year
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- [EMNLP 2023] An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram☆29Nov 9, 2023Updated 2 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16May 4, 2023Updated 2 years ago
- The dataset used in COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19☆12Nov 22, 2022Updated 3 years ago
- ☆11Feb 9, 2023Updated 3 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 5 years ago