2 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin, Saayan Mitra, Zhao Song +2
In this paper, we consider a heavy inner product identification problem, which generalizes the Light Bulb problem~(\cite{prr89}): Given two sets and $B \sub…
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin, Zhao Song, Yuanyuan Yang
Deep learning has been widely used in many fields, but the model training process usually consumes massive computational resources and time. Therefore, designing an efficient neura…
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension
Yuling Jiao, Dingwei Li, Min Liu +2
In this paper, we consider recovering dimensional signals from binary measurements corrupted by noises and sign flips under the assumption that the target signals have low…
Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class
Yuling Jiao, Yanming Lai, Xiliang Lu +3
In this paper, we construct neural networks with ReLU, sine and as activation functions. For general continuous defined on with continuity modulus ,…