Dziugaite, Gintare Karolina

1. Linear Mode Connectivity and the Lottery Ticket Hypothesis
   2019/12/11 by Jonathan Frankle, Frankle, Jonathan, Gintare Karolina Dziugaite +5 · 50 citations
   Computer Science · #Advanced Neural Network Applications #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning
2. A study of the effect of JPG compression on adversarial images
   2016/08/02 by Gintare Karolina Dziugaite, Zoubin Ghahramani, Dziugaite, Gintare Karolina +3 · 33 citations
   Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications
3. Training generative neural networks via Maximum Mean Discrepancy optimization
   2015/05/14 by Gintare Karolina Dziugaite, Dziugaite, Gintare Karolina, Daniel M. Roy +3 · 33 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
4. Pruning Neural Networks at Initialization: Why are We Missing the Mark?
   2020/09/18 by Jonathan Frankle, Gintare Karolina Dziugaite, Frankle, Jonathan +5 · 2 voices · 5 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #cs.CV #cs.LG #cs.NE #stat.ML
5. Mixtures of Experts Unlock Parameter Scaling for Deep RL
   2024/02/13 by Johan Obando-Ceron, Ghada Sokar, Obando-Ceron, Johan +15 · 13 citations
   Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks
6. Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
   2020/10/28 by Stanislav Fort, Fort, Stanislav, Gintare Karolina Dziugaite +9 · 8 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
7. Information-Theoretic Generalization Bounds for SGLD via Data-Dependent\n Estimates
   2019/11/05 by Jeffrey Negrea, Negrea, Jeffrey, Mahdi Haghifam +7 · 6 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
8. Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
   2021/02/01 by Gergely Neu, Gintare Karolina Dziugaite, Neu, Gergely +5 · 6 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Privacy-Preserving Technologies in Data
9. Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
   2020/04/27 by Mahdi Haghifam, Haghifam, Mahdi, Jeffrey Negrea +7 · 6 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Remote-Sensing Image Classification #Image and Signal Denoising Methods
10. Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
    2024/06/13 by Eleni Triantafillou, Peter Kairouz, Triantafillou, Eleni +26 · 8 citations
    Medicine · #Glioma Diagnosis and Treatment
11. In Search of Robust Measures of Generalization
    2020/10/22 by Gintare Karolina Dziugaite, Alexandre Drouin, Dziugaite, Gintare Karolina +13 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
12. On the role of data in PAC-Bayes bounds
    2020/06/19 by Dziugaite, Gintare Karolina, Hsu, Kyle, Gharbieh, Waseem +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Neural Network Matrix Factorization
    2015/11/19 by Dziugaite, Gintare Karolina, Roy, Daniel M. · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
    2022/10/06 by Paul, Mansheej, Chen, Feng, Larsen, Brett W. +3 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
15. Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
    2024/10/16 by Phillip Guo, Guo, Phillip, Syed, Aaquib +6 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
16. Stabilizing the Lottery Ticket Hypothesis
    2019/03/05 by Jonathan Frankle, Frankle, Jonathan, Gintare Karolina Dziugaite +5 · 1 voice
    #cs.LG #cs.CV #stat.ML
17. RelatIF: Identifying Explanatory Training Examples via Relative Influence
    2020/03/25 by Barshan, Elnaz, Brunet, Marc-Etienne, Dziugaite, Gintare Karolina · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
18. Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability
    2020/10/26 by Dziugaite, Gintare Karolina, Ben-David, Shai, Roy, Daniel M. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
19. Towards a Unified Information-Theoretic Framework for Generalization
    2021/11/09 by Mahdi Haghifam, Gintare Karolina Dziugaite, Haghifam, Mahdi +5 · 1 citation
    Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
20. JaxPruner: A concise library for sparsity research
    2023/04/27 by Lee, Joo Hyung, Park, Wonpyo, Mitchell, Nicole +22 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
21. Soup to go: mitigating forgetting during continual learning with model averaging
    2025/01/09 by Anat Kleiman, Gintare Karolina Dziugaite, Kleiman, Anat +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG)
22. Leveraging Function Space Aggregation for Federated Learning at Scale
    2023/11/17 by Nikita Dhawan, Nicole Mitchell, Dhawan, Nikita +7 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
23. NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
    2020/12/14 by Yiding Jiang, Jiang, Yiding, Pierre Foret +17 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
24. The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse
    2024/10/16 by Sharma, Ekansh, Roy, Daniel M., Dziugaite, Gintare Karolina · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
25. Continual Learning in Vision-Language Models via Aligned Model Merging
    2025/05/30 by Sokar, Ghada, Dziugaite, Gintare Karolina, Arnab, Anurag +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
26. Improved Localized Machine Unlearning Through the Lens of Memorization
    2024/12/03 by Reihaneh Torkzadehmahani, Torkzadehmahani, Reihaneh, Reza Nasirigerdeh +9 · 1 citation
    Computer Science · Engineering · #Educational Technology and Assessment #Experimental Learning in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG)