YaoRujing / Data-OptimizationLinks
Data Optimization in Deep Learning: A Survey
☆19Updated last year
Alternatives and similar repositories for Data-Optimization
Users that are interested in Data-Optimization are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 4 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- ☆24Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆18Updated last year
- ☆26Updated 2 years ago
- Code for coreset selection methods☆243Updated 2 years ago
- A collection of model transferability estimation methods.☆28Updated 11 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆82Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Benchmark for federated noisy label learning☆23Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆38Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆127Updated 7 months ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆49Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 7 months ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆21Updated 6 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆89Updated 11 months ago
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆74Updated 9 months ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"☆21Updated 2 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆48Updated 8 months ago