Picture for Andreas Kirsch

Andreas Kirsch

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions

Add code
Jan 09, 2024
Viaarxiv icon

Prediction-Oriented Bayesian Active Learning

Add code
Apr 17, 2023
Figure 1 for Prediction-Oriented Bayesian Active Learning
Figure 2 for Prediction-Oriented Bayesian Active Learning
Figure 3 for Prediction-Oriented Bayesian Active Learning
Figure 4 for Prediction-Oriented Bayesian Active Learning
Viaarxiv icon

Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not

Add code
Mar 26, 2023
Figure 1 for Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not
Figure 2 for Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not
Figure 3 for Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not
Figure 4 for Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not
Viaarxiv icon

Black-Box Batch Active Learning for Regression

Add code
Feb 17, 2023
Figure 1 for Black-Box Batch Active Learning for Regression
Figure 2 for Black-Box Batch Active Learning for Regression
Figure 3 for Black-Box Batch Active Learning for Regression
Figure 4 for Black-Box Batch Active Learning for Regression
Viaarxiv icon

Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning

Jan 23, 2023
Figure 1 for Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
Figure 2 for Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
Figure 3 for Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
Viaarxiv icon

Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities

Add code
Aug 01, 2022
Figure 1 for Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities
Figure 2 for Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities
Figure 3 for Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities
Figure 4 for Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities
Viaarxiv icon

Plex: Towards Reliability using Pretrained Large Model Extensions

Add code
Jul 15, 2022
Figure 1 for Plex: Towards Reliability using Pretrained Large Model Extensions
Figure 2 for Plex: Towards Reliability using Pretrained Large Model Extensions
Figure 3 for Plex: Towards Reliability using Pretrained Large Model Extensions
Figure 4 for Plex: Towards Reliability using Pretrained Large Model Extensions
Viaarxiv icon

Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Add code
Jun 16, 2022
Figure 1 for Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Figure 2 for Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Figure 3 for Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Figure 4 for Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Viaarxiv icon

Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling

May 18, 2022
Figure 1 for Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
Figure 2 for Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
Viaarxiv icon

A Note on "Assessing Generalization of SGD via Disagreement"

Add code
Feb 03, 2022
Figure 1 for A Note on "Assessing Generalization of SGD via Disagreement"
Viaarxiv icon