Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing


Oct 26, 2022
Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi

* 6 pages (excl. appendix), 5 figures, 1 table, preprint version, currently under review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Model Zoos: A Dataset of Diverse Populations of Neural Network Models


Sep 29, 2022
Konstantin Sch眉rholt, Diyar Taskiran, Boris Knyazev, Xavier Gir贸-i-Nieto, Damian Borth

* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights


Sep 29, 2022
Konstantin Sch眉rholt, Boris Knyazev, Xavier Gir贸-i-Nieto, Damian Borth

* 36th Conference on Neural Information Processing Systems (NeurIPS 2022). arXiv admin note: text overlap with arXiv:2207.10951 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations


Sep 19, 2022
Ricardo M眉ller, Marco Schreyer, Timur Sattarov, Damian Borth

* 9 pages, 4 figures, 5 tables, preprint version, currently under review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits


Aug 26, 2022
Marco Schreyer, Timur Sattarov, Damian Borth

* 8 pages, 5 figures, 3 tables, preprint version, currently under review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition


Aug 09, 2022
Shijun Wang, Hamed Hemati, J贸n Gu冒nason, Damian Borth

* Published in INTERSPEECH 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hyper-Representations for Pre-Training and Transfer Learning


Jul 22, 2022
Konstantin Sch眉rholt, Boris Knyazev, Xavier Gir贸-i-Nieto, Damian Borth

* First Workshop of Pre-training: Perspectives, Pitfalls, and Paths Forward at ICML 2022, Baltimore, Maryland, USA, PMLR 162, 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data


Dec 25, 2021
Hamed Hemati, Marco Schreyer, Damian Borth


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Saliency Diversified Deep Ensemble for Robustness to Adversaries


Dec 07, 2021
Alex Bogun, Dimche Kostadinov, Damian Borth

* Accepted to AAAI Workshop on Adversarial Machine Learning and Beyond 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction


Nov 03, 2021
Konstantin Sch眉rholt, Dimche Kostadinov, Damian Borth

* Published at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. 31 Pages, 14 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
>>