anniesch / surgical-finetuning
Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
☆29Updated last year
Alternatives and similar repositories for surgical-finetuning:
Users that are interested in surgical-finetuning are comparing it to the libraries listed below
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- ☆38Updated 4 months ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆24Updated last month
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆60Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 11 months ago
- ☆29Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆12Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated last year
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 11 months ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆90Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 10 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- ☆63Updated last year
- ☆108Updated last year
- ☆37Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆14Updated 4 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- ☆18Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago