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ORCIDArshia Soltani Moakhar
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Conference and Workshop Papers
- 2024
[c4]Maral Jabbarishiviari, Arshia Soltani Moakhar:
Software 1.0 Strengths for Interpretability and Data Efficiency. Tiny Papers @ ICLR 2024- [c3]Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. ICML 2024 - [c2]Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh:
SPADE: Sparsity-Guided Debugging for Deep Neural Networks. ICML 2024 - 2022
- [c1]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022
Informal and Other Publications
- 2023
- [i3]Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh:
SPADE: Sparsity-Guided Debugging for Deep Neural Networks. CoRR abs/2310.04519 (2023) - [i2]Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. CoRR abs/2310.09952 (2023) - 2022
- [i1]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! CoRR abs/2209.15246 (2022)
Coauthor Index
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