Publications

Found 175 results
Author Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is Y  [Clear All Filters]
2021
Chen, J., Zheng L., Yao Z., Wang D., Stoica I., Mahoney M. W., et al. (2021).  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.
Yeom, S., & Tschantz M. (2021).  Avoiding Disparity Amplification under Different Worldviews. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 273-283.
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.
Kim, S., Gholami A., Yao Z., Mahoney M. W., & Keutzer K. (2021).  I-BERT: Integer-only BERT Quantization.
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.
Yeh, C-H., Yu S. X., & Lin M. C. (2021).  Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning. Translational Vision Science and Technology. 10(4), 
Yeh, C-H., Yu S. X., & Lin M. C. (2021).  Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning. Translational Vision Science and Technology. 10(4), 
Wang, K., Kellman M., Sandino C. M., Zhang K., Vasanawala S. S., Tamir J. I., et al. (2021).  Memory-efficient Learning for High-Dimensional MRI Reconstruction. Proceedings of International Society for Magnetic Resonance in Medicine.
Wang, J., Chakraborty R., & Yu S. X. (2021).  Spatial Transformer for 3D Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Wang, X., & Yu S. X. (2021).  Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. Proceedings of AAAI Conference on Artificial Intelligence.
Ke, T-W., Hwang J-J., & Yu S. X. (2021).  Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. Proceedings of International Conference on Learning Representations.
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.
Wang, X., Liu Z., & Yu S. X. (2021).  Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Wang, X., Lian L., & Yu S. X. (2021).  Unsupervised Visual Attention and Invariance for Reinforcement Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
2019
Hwang, J-J., Ke T-W., Shi J., & Yu S. X. (2019).  Adversarial Structure Matching for Structured Prediction Tasks. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
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.
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 .
Dong, Z.., Yao Z.., Gholami A.., Mahoney M. W., & Keutzer K.. (2019).  HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision. Proceedings of ICCV 2019.

Pages