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ORCIDYerlan Idelbayev
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2020 – today
- 2024
[c14]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder can be Image Quality Controller. CVPR 2024: 7985-7995- [c13]Yifan Gong
, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. ECCV (83) 2024: 18-34 - [c12]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. ICML 2024 - [i8]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. CoRR abs/2401.06127 (2024) - [i7]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder Can be Image Quality Controller. CoRR abs/2403.18978 (2024) - [i6]Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren:
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model. CoRR abs/2406.04333 (2024) - [i5]Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. CoRR abs/2407.11966 (2024) - 2022
- [c11]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Network Pruning using the LC Toolkit. ICASSP 2022: 3373-3377 - 2021
- [b1]Yerlan Idelbayev:
Low-rank Compression of Neural Networks: LC Algorithms and Open-source Implementation. University of California, Merced, USA, 2021 - [c10]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. CIKM 2021: 4504-4514 - [c9]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [c8]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Neural Network Compression via Additive Combination of Reshaped, Low-Rank Matrices. DCC 2021: 243-252 - [c7]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Optimal Selection of Matrix Shape and Decomposition Scheme for Neural Network Compression. ICASSP 2021: 3250-3254 - [c6]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Beyond Flops In Low-Rank Compression Of Neural Networks: Optimizing Device-Specific Inference Runtime. ICIP 2021: 2843-2847 - [c5]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. IJCNN 2021: 1-8 - [c4]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
More General and Effective Model Compression via an Additive Combination of Compressions. ECML/PKDD (3) 2021: 233-248 - [i4]Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev:
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions. CoRR abs/2107.04380 (2021) - 2020
- [c3]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. CVPR 2020: 8046-8056 - [c2]Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Structured Multi-Hashing for Model Compression. CVPR 2020: 11900-11909 - [i3]Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
A flexible, extensible software framework for model compression based on the LC algorithm. CoRR abs/2005.07786 (2020)
2010 – 2019
- 2019
- [i2]Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Structured Multi-Hashing for Model Compression. CoRR abs/1911.11177 (2019) - 2018
- [c1]Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev:
"Learning-Compression" Algorithms for Neural Net Pruning. CVPR 2018: 8532-8541 - 2017
- [i1]Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev:
Model compression as constrained optimization, with application to neural nets. Part II: quantization. CoRR abs/1707.04319 (2017)
Coauthor Index
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