PatrickZH / Awesome-Coreset-SelectionLinks
Awesome coreset/core-set/subset/sample selection works.
☆181Updated 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☆242Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆188Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- ☆39Updated 2 years ago
- ☆36Updated last year
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- ☆47Updated 10 months ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- ☆108Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- Data Optimization in Deep Learning: A Survey☆19Updated last year
- awesome confidence calibration paper list☆25Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- ☆87Updated 2 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆321Updated this week
- Compare neural networks by their feature similarity☆374Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- some bravo or inspiring research works on the topic of curriculum learning☆241Updated 3 years ago
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆341Updated 2 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆310Updated 5 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆312Updated 2 months ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆339Updated last year