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Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.

A. Elthakeb, P. Pilligundla, F. Mireshghallah, T. Elgindi, C. Deledalle, and H. Esmaeilzadeh. CoRR, (2020)

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Benchmarking Differential Privacy and Federated Learning for BERT Models.P. Basu, T. Roy, R. Naidu, Z. Müftüoglu, S. Singh, and F. Mireshghallah. CoRR, (2021)Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.F. Mireshghallah, K. Goyal, A. Uniyal, T. Berg-Kirkpatrick, and R. Shokri. EMNLP, page 8332-8347. Association for Computational Linguistics, (2022)An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.F. Mireshghallah, A. Uniyal, T. Wang, D. Evans, and T. Berg-Kirkpatrick. EMNLP, page 1816-1826. Association for Computational Linguistics, (2022)DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?A. Uniyal, R. Naidu, S. Kotti, S. Singh, P. Kenfack, F. Mireshghallah, and A. Trask. CoRR, (2021)Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization.A. Priyanshu, S. Vijay, A. Kumar, R. Naidu, and F. Mireshghallah. CoRR, (2023)Memorization in NLP Fine-tuning Methods.F. Mireshghallah, A. Uniyal, T. Wang, D. Evans, and T. Berg-Kirkpatrick. CoRR, (2022)Energy-Efficient Permanent Fault Tolerance in Hard Real-Time Systems.F. Mireshghallah, M. Bakhshalipour, M. Sadrosadati, and H. Sarbazi-Azad. IEEE Trans. Computers, 68 (10): 1539-1545 (2019)Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.A. Elthakeb, P. Pilligundla, F. Mireshghallah, T. Elgindi, C. Deledalle, and H. Esmaeilzadeh. CoRR, (2020)Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness.F. Mireshghallah, and T. Berg-Kirkpatrick. EMNLP (1), page 2009-2022. Association for Computational Linguistics, (2021)Privacy-Preserving Domain Adaptation of Semantic Parsers.F. Mireshghallah, Y. Su, T. Hashimoto, J. Eisner, and R. Shin. ACL (1), page 4950-4970. Association for Computational Linguistics, (2023)

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Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.

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Disambiguation of "Mireshghallah, Fatemehsadat"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.

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Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.