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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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03/14/2023
Statistical Hardware Design With Multi-model Active Learning
With the rising complexity of numerous novel applications that serve our...
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01/04/2023
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
Deep learning models are dominating almost all artificial intelligence t...
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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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12/22/2022
Training Integer-Only Deep Recurrent Neural Networks
Recurrent neural networks (RNN) are the backbone of many text and speech...
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09/20/2022
Integer Fine-tuning of Transformer-based Models
Transformer based models are used to achieve state-of-the-art performanc...
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07/18/2022
Is Integer Arithmetic Enough for Deep Learning Training?
The ever-increasing computational complexity of deep learning models mak...
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09/22/2020
Improving Convergence for Nonconvex Composite Programming
High-dimensional nonconvex problems are popular in today's machine learn...
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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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12/07/2017
