| “Learning-Compression” Algorithms for Neural Net Pruning MA Carreira-Perpinán, Y Idelbayev 2018 IEEE Conf. Computer Vision and Pattern Recognition (CVPR’18), 2018 | 252 | 2018 |
| Low-rank Compression of Neural Nets: Learning the Rank of Each Layer Y Idelbayev, MA Carreira-Perpinán 2020 IEEE Conf. Computer Vision and Pattern Recognition (CVPR’20), 2020 | 131 | 2020 |
| Small molecule accurate recognition technology (SMART) to enhance natural products research C Zhang, Y Idelbayev, N Roberts, Y Tao, Y Nannapaneni, BM Duggan, ... Scientific reports 7 (1), 1-17, 2017 | 91 | 2017 |
| Proper ResNet Implementation for CIFAR10/CIFAR100 in Pytorch Y Idelbayev https://github.com/akamaster/pytorch_resnet_cifar10, 2018 | 73 | 2018 |
| Model compression as constrained optimization, with application to neural nets. Part II: quantization MA Carreira-Perpinán, Y Idelbayev arXiv preprint arXiv:1707.04319, 2017 | 48 | 2017 |
| Structured Multi-Hashing for Model Compression E Eban, Y Movshovitz-Attias, H Wu, M Sandler, A Poon, Y Idelbayev, ... 2020 IEEE Conf. Computer Vision and Pattern Recognition (CVPR’20), 2019 | 15 | 2019 |
| More general and effective model compression via an additive combination of compressions Y Idelbayev, MA Carreira-Perpinán ECML 2021, 2021 | 13 | 2021 |
| A flexible, extensible software framework for model compression based on the LC algorithm Y Idelbayev, MÁ Carreira-Perpiñán arXiv preprint arXiv:2005.07786, 2020 | 12 | 2020 |
| Model compression as constrained optimization, with application to neural nets MÁ Carreira-Perpiñán, Y Idelbayev 2017 Bay Area Machine Learning Symposium (BayLearn'17), 2017 | 12 | 2017 |
| Optimal Selection of Matrix Shape and Decomposition Scheme for Neural Network Compression Y Idelbayev, MA Carreira-Perpinan IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'21), 2021 | 11 | 2021 |
| Neural Network Compression via Additive Combination of Reshaped, Low-rank Matrices Y Idelbayev, MA Carreira-Perpinán 2021 IEEE Data Compression Conference (DCC'21), 2021 | 8 | 2021 |
| LC: A Flexible, Extensible Open-Source Toolkit for Model Compression Y Idelbayev, MÁ Carreira-Perpiñán Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| Model compression as constrained optimization, with application to neural nets. Part V: combining compressions MÁ Carreira-Perpiñán, Y Idelbayev arXiv preprint arXiv:2107.04380, 2021 | 6 | 2021 |
| An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit Y Idelbayev, MA Carreira-Perpinán 2021 Int. Joint Conf. on Neural Networks (IJCNN'21), 2021 | 6 | 2021 |
| Optimal Quantization using Scaled Codebook Y Idelbayev, P Molchanov, M Shen, H Yin, MA Carreira-Perpinán, ... 2021 IEEE Conf. Computer Vision and Pattern Recognition (CVPR’21), 2021 | 6 | 2021 |
| Beyond FLOPs in Low-rank Compression of Neural Networks: Optimizing Device-specific Inference Runtime Y Idelbayev, MA Carreira-Perpinán 2021 IEEE Int. Conf. on Image Processing (ICIP'21), 0 | 6* | |
| Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Network Pruning using the LC Toolkit Y Idelbayev, MÁ Carreira-Perpiñán ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| TextCraftor: Your Text Encoder Can be Image Quality Controller Y Li, X Liu, A Kag, J Hu, Y Idelbayev, D Sagar, Y Wang, S Tulyakov, J Ren arXiv preprint arXiv:2403.18978, 2024 | | 2024 |
| EGAN: Efficient Training of Efficient GANs for Image-to-Image Translation Y Gong, Z Zhan, Q Jin, Y Li, Y Idelbayev, X Liu, A Zharkov, K Aberman, ... arXiv preprint arXiv:2401.06127, 2024 | | 2024 |
| Low-rank Compression of Neural Networks: LC Algorithms and Open-source Implementation Y Idelbayev University of California, Merced, 2021 | | 2021 |
Miguel Á. Carreira-PerpiñánProfessor of Computer Science, University of California, MercedVerified email at ucmerced.edu
