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 last week
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆26Updated 2 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- [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
- Benchmark for federated noisy label learning☆23Updated 9 months ago
- translation of VHL repo in paddle☆25Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Updated 6 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆119Updated last year
- A curated list of awesome Mix☆70Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆24Updated last year
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆18Updated 2 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- C-Mixup for NeurIPS 2022☆70Updated last year
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆12Updated last year
- ☆35Updated last year
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆17Updated last year
- LISA for ICML 2022☆49Updated 2 years ago
- A collection of model transferability estimation methods.☆27Updated 7 months ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Updated 3 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- ☆86Updated 2 years ago