Ilia Sucholutsky
Title
Cited by
Cited by
Year
Text mining with n-gram variables
M Schonlau, N Guenther, I Sucholutsky
The Stata Journal 17 (4), 866-881, 2017
29*2017
'Less Than One'-Shot Learning: Learning N Classes From M< N Samples
I Sucholutsky, M Schonlau
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9739-9746, 2021
182021
Soft-Label Dataset Distillation and Text Dataset Distillation
I Sucholutsky, M Schonlau
arXiv preprint arXiv:1910.02551, 2019
82019
Deep Learning for System Trace Restoration
I Sucholutsky, A Narayan, M Schonlau, S Fischmeister
2019 International Joint Conference on Neural Networks (IJCNN), 2019
42019
Optimal 1-NN prototypes for pathological geometries
I Sucholutsky, M Schonlau
PeerJ Computer Science 7, e464, 2021
12021
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)
I Sucholutsky, M Schonlau
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15897 …, 2021
2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
I Sucholutsky, NH Kim, RP Browne, M Schonlau
arXiv preprint arXiv:2102.07834, 2021
2021
Pay attention and you won’t lose it: a deep learning approach to sequence imputation
I Sucholutsky, A Narayan, M Schonlau, S Fischmeister
PeerJ Computer Science 5 (e210), 2019
2019
ConvART: Improving Adaptive Resonance Theory for Unsupervised Image Clustering
I Sucholutsky, M Schonlau
Journal of Computational Vision and Imaging Systems 4 (1), 3, 2018
2018
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Articles 1–9