IBM / model-reprogramming
Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
☆61Updated last year
Alternatives and similar repositories for model-reprogramming:
Users that are interested in model-reprogramming are comparing it to the libraries listed below
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- LISA for ICML 2022☆48Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 11 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆26Updated 2 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆28Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆39Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated 2 years ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)☆38Updated 5 months ago
- ☆29Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Self-Supervised Dataset Distillation for Transfer Learning☆13Updated last year
- ☆35Updated last year
- ☆36Updated 3 years ago
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆24Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated last year
- ☆42Updated last week
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated last year
- ☆30Updated 3 years ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆42Updated 11 months ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆15Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated 9 months ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year