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
- LISA for ICML 2022☆47Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- ☆38Updated 3 months ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆59Updated 11 months ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆23Updated 3 weeks ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- ☆29Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆95Updated last year
- [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
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆90Updated 4 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 9 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- ☆62Updated last year
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- ☆107Updated last year
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆38Updated 3 weeks ago
- ☆10Updated this week
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆15Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 10 months ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated last year
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆12Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆43Updated last year