IBM / model-reprogrammingLinks
Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
☆61Updated 2 weeks ago
Alternatives and similar repositories for model-reprogramming
Users that are interested in model-reprogramming are comparing it to the libraries listed below
Sorting:
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- LISA for ICML 2022☆51Updated 2 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆24Updated last year
- ☆31Updated 5 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- ☆36Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆15Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- ICLR2023 statistics☆59Updated last year
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆39Updated 2 years ago
- [JMLR] Gradual Domain Adaptation: Theory and Algorithms☆11Updated 8 months ago
- Self-Supervised Dataset Distillation for Transfer Learning☆16Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]☆28Updated this week
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆45Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆123Updated last year
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Updated last year
- ☆44Updated 5 months ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- ☆67Updated 2 years ago