Nia, Vahid Partovi

9 publications

AAAI 2025 OAC: Output-Adaptive Calibration for Accurate Post-Training Quantization Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia

ICCV 2023 DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

NeurIPS 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

AAAI 2022 Convolutional Neural Network Compression Through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia

NeurIPS 2022 Is Integer Arithmetic Enough for Deep Learning Training? Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia

CVPRW 2021 Adaptive Binary-Ternary Quantization Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia

NeurIPS 2021 Demystifying and Generalizing BinaryConnect Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia

NeurIPS 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-Bit Shift Networks Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

NeurIPS 2018 Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng