Publications

Found 714 results
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In Press
Hoang, N. Phong, Niaki A. Akhavan, Dalek J., Knockel J., Lin P., Marczak B., et al. (In Press).  How Great is the Great Firewall? Measuring China's DNS Censorship. Proceedings of the 30th USENIX Security Symposium.
2022
Kwon, W., Kim S., Mahoney M. W., Hassoun J., Keutzer K., & Gholami A. (2022).  A Fast Post-Training Pruning Framework for Transformers. NeurIPS.
Chasins, S., Cheung A., Crooks N., Ghodsi A., Goldberg K., Gonzalez J. E., et al. (2022).  The Sky Above the Clouds: A Berkeley View on the Future of Cloud Computing. arxiv.org.
Chasins, S., Cheung A., Crooks N., Ghodsi A., Goldberg K., Gonzalez J. E., et al. (2022).  The Sky Above the Clouds: A Berkeley View on the Future of Cloud Computing. arxiv.org.
Chasins, S., Cheung A., Crooks N., Ghodsi A., Goldberg K., Gonzalez J. E., et al. (2022).  The Sky Above the Clouds: A Berkeley View on the Future of Cloud Computing. arxiv.org.
Kim, S., Gholami A., Shaw A., Lee N., Mangalam K., Malik J., et al. (2022).  Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS.
2021
Chen, J., Zheng L., Yao Z., Wang D., Stoica I., Mahoney M., et al. (2021).  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.
Krishnapriyan, A. S., Gholami A., Zhe S., Kirby R. M., & Mahoney M. W. (2021).  Characterizing Possible Failure Modes in Physics-Informed Neural Networks. NeurIPS.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Kim, S., Gholami A., Yao Z., Mahoney M., & Keutzer K. (2021).  I-BERT: Integer-only BERT Quantization.
Hornauer, S., Li K., Yu S. X., Ghaffarzadegan S., & Ren L. (2021).  Unsupervised Discriminative Learning of Sounds for Audio Event Classification. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing.
Feldmann, A., Gasser O., Lichtblau F., Pujol E., Poese I., Dietzel C., et al. (2021).  A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic. Communications of the ACM (CACM). 64(7), 101-108.
2020
Gamba, J.., Rashed M.., Razaghpanah A., Vallina-Rodriguez N., & Tapiador J.. (2020).  An Analysis of Pre-Installed Android Software. IEEE Sympsium on Security and Privacy 2020.
Lee, M. Kyung, Grgić-Hlača N., Tschantz M. Carl, Binns R., Weller A., Carney M., et al. (2020).  Human-Centered Approaches to Fair and Responsible AI. CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1-8.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Reardon, J., Good N., Richter R., Vallina-Rodriguez N., Egelman S., & Palfrey Q. (2020).  JPush Away Your Privacy: A Case Study of Jiguang’s Android SDK.
Shen, S.., Dong Z.., Ye J.., Ma L.., Yao Z.., Gholami A.., et al. (2020).  Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Proceedings of the AAAI-20 Conference.
2019
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Ho, G.., Cidon A.., Gavish L.., Schweighauser M.., Paxson V., Savage S.., et al. (2019).   Detecting and Characterizing Lateral Phishing at Scale. Proceedings of USENIX Security Symposium.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (2019).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Friedman, E. J., Gkatzelis V., Psomas C-A., & Shenker S. J. (2019).  Fair and Efficient Memory Sharing: Confronting Free Riders. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.
Kylasa, S.. B., Roosta-Khorasani F.., Mahoney M., & Grama A.. (2019).  GPU Accelerated Sub-Sampled Newton's Method. Proceedings of the 2019 SDM Conference. 702-710.
Dong, Z.., Yao Z.., Gholami A.., Mahoney M., & Keutzer K.. (2019).  HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision. Proceedings of ICCV 2019.
Liu, Z., Miao Z., Zhan X., Wang J., Gong B., & Yu S. X. (2019).  Large-Scale Long-Tailed Recognition in An Open World. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

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