Yerlan Idelbayev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Faster Neural Net Inference via Forests of Sparse Oblique Decision Trees. | Yerlan Idelbayev, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | CVPR | SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. | Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren |
| 2024 | CVPR | TextCraftor: Your Text Encoder can be Image Quality Controller. | Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren |
| 2024 | ECCV | Efficient Training with Denoised Neural Weights. | Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren |
| 2024 | ICML | E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. | Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren |
| 2022 | ICASSP | Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Network Pruning using the LC Toolkit. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | CIKM | LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | CVPR | Optimal Quantization Using Scaled Codebook. | Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel . Carreira-Perpin, Jos M. lvarez |
| 2021 | DCC | Neural Network Compression via Additive Combination of Reshaped, Low-Rank Matrices. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | ICASSP | Optimal Selection of Matrix Shape and Decomposition Scheme for Neural Network Compression. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | ICIP | Beyond Flops In Low-Rank Compression Of Neural Networks: Optimizing Device-Specific Inference Runtime. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | IJCNN | An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2020 | CVPR | Structured Multi-Hashing for Model Compression. | Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2020 | CVPR | Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2018 | CVPR | "Learning-Compression" Algorithms for Neural Net Pruning. | Miguel . Carreira-Perpin, Yerlan Idelbayev |