دنبال کردن
Ke Wang
Ke Wang
ایمیل تأیید شده در epfl.ch - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Localizing Task Information for Improved Model Merging and Compression
K Wang*, N Dimitriadis*, G Ortiz-Jimenez, F Fleuret, P Frossard
International Conference on Machine Learning (ICML), 2024
242024
Polarization-driven edge-state transport in transition-metal dichalcogenides
K Wang, G Hu, R Liu, Y Zhang, M Dan, L Li, Y Zhang
Physical Review Applied 13 (5), 054074, 2020
132020
CLAD: A contrastive learning based approach for background debiasing
K Wang, H Machiraju, OH Choung, M Herzog, P Frossard
British Machine Vision Conference (BMVC), 2022
52022
LiNeS: Post-training layer scaling prevents forgetting and enhances model merging
K Wang*, N Dimitriadis*, A Favero, G Ortiz-Jimenez, F Fleuret, P Frossard
International Conference on Learning Representations (ICLR), 2024
12024
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
K Wang, G Ortiz-Jimenez, R Jenatton, M Collier, E Kokiopoulou, ...
International Conference on Machine Learning (ICML), 2024
12024
Detection of Typical Sentence Errors in Speech Recognition Output.
B Wang, K Wang, S Li, M Cieliebak
SwissText, 1-5, 2022
2022
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مقاله‌ها 1–6