baharanm / craigLinks
Data-efficient Training of Machine Learning Models
☆65Updated 4 years ago
Alternatives and similar repositories for craig
Users that are interested in craig are comparing it to the libraries listed below
Sorting:
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆178Updated last year
- Distributionally robust neural networks for group shifts☆276Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Optimal Transport Dataset Distance☆168Updated 3 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
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 2 months ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆274Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Code for coreset selection methods☆240Updated 2 years ago
- Introducing diverse tasks for NAS☆50Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- ☆22Updated 6 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- ☆59Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- A simple PyTorch implementation of influence functions.☆90Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆338Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- ☆124Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago