2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention
Tong Yu, Ruslan Khalitov, Lei Cheng +1
Self-Attention is a widely used building block in neural modeling to mix long-range data elements. Most self-attention neural networks employ pairwise dot-products to specify the a…
cs.LG2022
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng, Ruslan Khalitov, Tong Yu +1
Classification of long sequential data is an important Machine Learning task and appears in many application scenarios. Recurrent Neural Networks, Transformers, and Convolutional N…
cs.LG2021★ 2 cited
Sparse Factorization of Large Square Matrices
Ruslan Khalitov, Tong Yu, Lei Cheng +1
Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation…