nblt / mARWPLinks
[TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization
☆12Updated last year
Alternatives and similar repositories for mARWP
Users that are interested in mARWP are comparing it to the libraries listed below
Sorting:
- Official implementation of the RegMixup paper☆20Updated 3 years ago
- ☆16Updated 3 years ago
- gradient norm penalty☆41Updated last year
- Uncertainty-Guided Pseudo-Labelling with Model Averaging☆11Updated last year
- Recycling diverse models☆46Updated 2 years ago
- ☆17Updated last year
- [CVPR 2024] Friendly Sharpness-Aware Minimization☆34Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.☆37Updated last year
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆17Updated 3 years ago
- ☆23Updated 2 years ago
- ☆11Updated 2 years ago
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆48Updated 4 months ago
- Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022☆10Updated 3 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- ☆26Updated last year
- ☆12Updated 9 months ago
- ☆10Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- ☆58Updated 2 years ago
- ☆110Updated 3 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Updated 2 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆33Updated last year
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago