Folgen
Ilia Sucholutsky
Titel
Zitiert von
Zitiert von
Jahr
Soft-Label Dataset Distillation and Text Dataset Distillation
I Sucholutsky, M Schonlau
2021 International Joint Conference on Neural Networks, 2019
1162019
GPT is an effective tool for multilingual psychological text analysis
S Rathje, DM Mirea, I Sucholutsky, R Marjieh, CE Robertson, ...
Proceedings of the National Academy of Sciences 121 (34), e2308950121, 2024
114*2024
Text mining with n-gram variables
M Schonlau, N Guenther, I Sucholutsky
The Stata Journal 17 (4), 866-881, 2017
79*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
592021
Getting aligned on representational alignment
I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ...
arXiv preprint arXiv:2310.13018, 2023
322023
Human uncertainty in concept-based ai systems
KM Collins, M Barker, M Espinosa Zarlenga, N Raman, U Bhatt, M Jamnik, ...
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 869-889, 2023
282023
Alignment with human representations supports robust few-shot learning
I Sucholutsky, T Griffiths
Advances in Neural Information Processing Systems 36, 2024
252024
Words are all you need? Language as an approximation for human similarity judgments
R Marjieh, P Van Rijn, I Sucholutsky, TR Sumers, H Lee, TL Griffiths, ...
arXiv preprint arXiv:2206.04105, 2022
25*2022
Large language models meet cognitive science: LLMs as tools, models, and participants
M Hardy, I Sucholutsky, B Thompson, T Griffiths
Proceedings of the annual meeting of the cognitive science society 45 (45), 2023
242023
What language reveals about perception: Distilling psychophysical knowledge from large language models
R Marjieh, I Sucholutsky, P van Rijn, N Jacoby, T Griffiths
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
222023
Large language models predict human sensory judgments across six modalities
R Marjieh, I Sucholutsky, P van Rijn, N Jacoby, TL Griffiths
arXiv preprint arXiv:2302.01308, 2023
162023
Predicting human similarity judgments using large language models
R Marjieh, I Sucholutsky, TR Sumers, N Jacoby, TL Griffiths
arXiv preprint arXiv:2202.04728, 2022
162022
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
152021
Measuring implicit bias in explicitly unbiased large language models
X Bai, A Wang, I Sucholutsky, TL Griffiths
arXiv preprint arXiv:2402.04105, 2024
122024
On the informativeness of supervision signals
I Sucholutsky, RM Battleday, KM Collins, R Marjieh, J Peterson, P Singh, ...
Uncertainty in Artificial Intelligence, 2036-2046, 2023
112023
Deep Learning for System Trace Restoration
I Sucholutsky, A Narayan, M Schonlau, S Fischmeister
2019 International Joint Conference on Neural Networks (IJCNN), 2019
112019
Can Humans Do Less-Than-One-Shot Learning?
M Malaviya, I Sucholutsky, K Oktar, TL Griffiths
arXiv preprint arXiv:2202.04670, 2022
102022
Human-in-the-Loop Mixup
KM Collins, U Bhatt, W Liu, V Piratla, I Sucholutsky, B Love, A Weller
Uncertainty in Artificial Intelligence, 2023, 2022
9*2022
Learning with language-guided state abstractions
A Peng, I Sucholutsky, BZ Li, TR Sumers, TL Griffiths, J Andreas, JA Shah
arXiv preprint arXiv:2402.18759, 2024
82024
Concept alignment
S Rane, PJ Bruna, I Sucholutsky, C Kello, TL Griffiths
arXiv preprint arXiv:2401.08672, 2024
82024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20