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06/29/2023
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
With the increasing popularity and the increasing size of vision transfo...
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05/10/2023
Common Information Dimension
The exact common information between a set of random variables X_1,...,X...
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03/24/2023
Mathematical Challenges in Deep Learning
Deep models are dominating the artificial intelligence (AI) industry sin...
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12/22/2022
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
With the advent of deep learning application on edge devices, researcher...
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08/20/2022
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network
Deploying deep neural networks on low-resource edge devices is challengi...
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07/15/2022
Low-bit Shift Network for End-to-End Spoken Language Understanding
Deep neural networks (DNN) have achieved impressive success in multiple ...
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06/28/2022
Deep Neural Networks pruning via the Structured Perspective Regularization
In Machine Learning, Artificial Neural Networks (ANNs) are a very powerf...
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07/07/2021
S^3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Shift neural networks reduce computation complexity by removing expensiv...
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06/09/2020
Tensor train decompositions on recurrent networks
Recurrent neural networks (RNN) such as long-short-term memory (LSTM) ne...
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06/08/2020
Clustering Causal Additive Noise Models
Additive noise models are commonly used to infer the causal direction fo...
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09/30/2019
