Xinlin Li - RankMe

20 papers A* 3A 1C 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
2023	—	`conf`	BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CVPR Workshops Phuoc-Hoan Charles Le, Xinlin Li
2023	J	`jnl`	BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CoRR Phuoc-Hoan Charles Le, Xinlin Li
2023	J	`jnl`	Deep Neural Networks Pruning via the Structured Perspective Regularization. SIAM J. Math. Data Sci. Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi
2023	A*	`conf`	DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
2023	J	`jnl`	EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
2023	J	`jnl`	Mathematical Challenges in Deep Learning. CoRR Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
2023	A*	`conf`	Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
2022	J	`jnl`	Deep Neural Networks pruning via the Structured Perspective Regularization. CoRR Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi
2022	J	`jnl`	DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
2022	J	`jnl`	EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
2022	C	`conf`	EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. ICPRAM Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia
2022	A	`conf`	Low-bit Shift Network for End-to-End Spoken Language Understanding. INTERSPEECH Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen
2022	J	`jnl`	Low-bit Shift Network for End-to-End Spoken Language Understanding. CoRR Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen
2021	J	`jnl`	S CoRR Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	A*	`conf`	S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2020	J	`jnl`	Clustering Causal Additive Noise Models. CoRR Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng
2020	J	`jnl`	Importance of Data Loading Pipeline in Training Deep Neural Networks. CoRR Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia
2020	J	`jnl`	Tensor train decompositions on recurrent networks. CoRR Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia
2019	J	`jnl`	Random Bias Initialization Improving Binary Neural Network Training. CoRR Xinlin Li, Vahid Partovi Nia