jlko / active-surrogate-estimators
☆12Updated 3 years ago
Alternatives and similar repositories for active-surrogate-estimators
Users that are interested in active-surrogate-estimators are comparing it to the libraries listed below
Sorting:
- ☆17Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- ☆16Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆26Updated 2 years ago
- ☆29Updated last year
- Pytorch Datasets for Easy-To-Hard☆27Updated 4 months ago
- Code for experiments on transformers using Markovian data.☆14Updated 5 months ago
- A simple Jax implementation of influence functions.☆16Updated last year
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- ☆28Updated last year
- ☆23Updated 7 months ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆16Updated 2 years ago
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Updated last year
- ☆11Updated 2 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- ☆60Updated 3 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆12Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- Unofficial implementation of Conformal Language Modeling by Quach et al☆28Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆12Updated last year
- ☆13Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- ☆15Updated 6 months ago