Publications

Found 983 results
Author Title Type [ Year(Asc)]
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2022
Kwon, W., Kim S., Mahoney M. W., Hassoun J., Keutzer K., & Gholami A. (2022).  A Fast Post-Training Pruning Framework for Transformers. NeurIPS.
Eshragh, A., Roosta F., Nazari A., & Mahoney M. (2022).  LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data. Journal of Machine Learning Research. 23, 1-36.
N. Erichson, B., Lim S. Hoe, Utrera F., Xu W., Cao Z., & Mahoney M. (2022).  NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. arXiv.
Malkin, N., Wagner D., & Egelman S. (2022).  Runtime Permissions for Privacy in Proactive Intelligent Assistants. Symposium on Usable Privacy and Security.
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.
Kim, S., Gholami A., Shaw A., Lee N., Mangalam K., Malik J., et al. (2022).  Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS.
Kim, S., Gholami A., Shaw A., Lee N., Mangalam K., Malik J., et al. (2022).  Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS.
Frik, A., Kim J., Sanchez J. Rafael, & Ma J. (2022).  Users’ Expectations About and Use of Smartphone Privacy and Security Settings. CHI Conference on Human Factors in Computing Systems.
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.
Utrera, F., Kravitz E., N. Erichson B., Khanna R., & Mahoney M. (2021).  Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification. International Conference on Learning Representations.
Liu, X., Meneghin M., & Shapiro V. (2021).  An application programming interface for multiscale shape-material modeling. Advances in Engineering Software. 161,
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.
Shanley, L. A., Fortson L., Berger-Wolf T., Crowston K., & Michelucci P. (2021).  Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research.
Shanley, L.. A., Fortson L.., Berger-Wolf T.., Crowston K.., & Michelucci M.. (2021).  Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. Computing Community Consortium (CCC).
N. Erichson, B., Azencot O., Queiruga A., Hodgkinson L., & Mahoney M. (2021).  Lipschitz recurrent neural networks. International Conference on Learning Representations.
Wang, X., Lian L., Miao Z., Liu Z., & Yu S. X. (2021).  Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. Proceedings of International Conference on Learning Representations.
N. Erichson, B., Taylor D., Wu Q., & Mahoney M. (2021).  Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). 100-108.
Lim, S. Hoe, N. Erichson B., Hodgkinson L., & Mahoney M. (2021).  Noisy Recurrent Neural Networks. Advances in Neural Information Processing Systems Conference. 34,
McClure, S., Ratnasamy S., Bansal D., & Padhye J. (2021).  Rethinking networking abstractions for cloud tenants. HotOS '21: Proceedings of the Workshop on Hot Topics in Operating Systems. 41-48.
Balakrishnan, H., Banerjee S., Cidon I., Culler D. E., Estrin D., Katz-Basset E. B., et al. (2021).  Revitalizing the public internet by making it extensible. ACM SIGCOMM Computer Communication Review . 51(2), 18-24.

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