Publications

Found 175 results
Author Title [ Type(Desc)] Year
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Conference Paper
Yeom, S., & Tschantz M. Carl (2018).  Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Vinyals, O., Deng L., Yu D., & Acero A. (2009).  Discriminative Pronunciation Learning Using Phonetic Decoder and Minimum-Classification-Error Criterion. 4445-4448.
Hornauer, S., Yellapragada B., Ranjbar A., & Yu S. X. (2019).  Driving Scene Retrieval by Example from Large-Scale Data. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition .
Hornauer, S., Yellapragada B., Ranjbar A., & Yu S. X. (2019).  Driving Scene Retrieval by Example from Large-Scale Data. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition .
Yeh, T., & Darrell T. (2008).  Dynamic Visual Category Learning.
Gurkan, H., Guz U., & B. Yarman S. (2007).  EEG Signal Compression Based on Classified Signature and Envelope Vector Sets. 420-423.
Yang, F., Tur G., & Shriberg E. (2008).  Exploiting Dialog Act Tagging and Prosodic Information for Action Item Identification. 4941-4944.
Yeh, T., Lee J. J., & Darrell T. (2009).  Fast Concurrent Object Localization and Recognition. 280-287.
Yang, J., Mahoney M., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
Peng, X., Hoffman J., Yu S. X., & Saenko K. (2016).  Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification. Proceedings of International Conference on Image Processing.
Zhou, T., Lee Y. Jae, Yu S. X., & Efros A. A. (2015).  FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences.
Sun, B., Peng X., Yu S. X., & Saenko K. (2017).  Ground2Sky Label Transfer for Fine-grained Aerial Car Recognition. Proceedings of the International Conference on Image Processing 2017.
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.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Maire, M., Yu S. X., & Perona P. (2013).  Hierarchical Scene Annotation.
Kim, S., Gholami A., Yao Z., Mahoney M., & Keutzer K. (2021).  I-BERT: Integer-only BERT Quantization.
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.
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.
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.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Jiang, H., Yu S. X., & Martin D. R. (2011).  Linear Scale and Rotation Invariant Matching. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 33(7), 1339-1355.

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