mlsanityData to 14 Oct 2026

AIREPAIR: A Repair Platform for Neural Networks

arXiv 2211.15387 ↗First posted 24 Nov 2022cs.NE cs.AI cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

We present AIREPAIR, a platform for repairing neural networks. It features the integration of existing network repair tools. Based on AIREPAIR, one can run different repair methods on the same model, thus enabling the fair comparison of different repair techniques. We evaluate AIREPAIR with three state-of-the-art repair tools on popular deep-learning datasets and models. Our evaluation confirms the utility of AIREPAIR, by comparing and analyzing the results from different repair techniques. A demonstration is available at https://youtu.be/UkKw5neeWhw.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 27 references that are in the map. First posted on arXiv 24 Nov 2022.

Builds on

10 of 27 references.

References · 10

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2017Towards Deep Learning Models Resistant to Adversarial Attackscited by 6,415
  4. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,349
  5. 2020Editable Neural Networkscited by 155
  6. 2021Provable Repair of Deep Neural Networkscited by 42
  7. 2019Arachne: Search Based Repair of Deep Neural Networkscited by 26
  8. 2019Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?cited by 25
  9. 2017DeepCorrect: Correcting DNN models against Image Distortionscited by 15
  10. 2018Counterexample-Guided Data Augmentationcited by 15

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 0; 2025: 1; 2026: 1.

4 papers.

  1. 2023LUNA: A Model-Based Universal Analysis Framework for Large Language Modelscited by 4
  2. 2025A Comprehensive Study of Deep Learning Model Fixing Approachescited by 2
  3. 2023QNNRepair: Quantized Neural Network Repaircited by 0
  4. 2026Shapley-Guided Neural Repair Approach via Derivative-Free Optimizationcited by 0