PatrickZH / Awesome-Coreset-SelectionLinks
Awesome coreset/core-set/subset/sample selection works.
☆179Updated last year
Alternatives and similar repositories for Awesome-Coreset-Selection
Users that are interested in Awesome-Coreset-Selection are comparing it to the libraries listed below
Sorting:
- Code for coreset selection methods☆236Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆108Updated 2 years ago
- ☆46Updated 8 months ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆186Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆91Updated 4 years ago
- ☆86Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆335Updated last year
- Distributionally robust neural networks for group shifts☆270Updated 2 years ago
- ☆40Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆39Updated 5 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆305Updated 5 years ago
- Dataset Condensation (ICLR21 and ICML21)☆518Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆122Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆300Updated 3 weeks ago
- Data Optimization in Deep Learning: A Survey☆19Updated last year
- ☆35Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 weeks ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- ☆18Updated last year