skezle / savaLinks
Scalable data valuation using optimal transport (ICLR 2025)
☆13Updated 5 months ago
Alternatives and similar repositories for sava
Users that are interested in sava are comparing it to the libraries listed below
Sorting:
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆52Updated last year
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆21Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 11 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago
- ☆47Updated 2 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆16Updated 2 years ago
- ☆50Updated last year
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- ☆111Updated 2 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- A Python Data Valuation Package☆30Updated 2 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Python package to accelerate research on generalized out-of-distribution (OOD) detection.☆15Updated last year
- A simple PyTorch implementation of influence functions.☆92Updated last year
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- ☆23Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Updated 3 years ago