A survey on efficient convolutional neural networks and hardware acceleration
Over the past decade, deep-learning-based representations have demonstrated remarkable
performance in academia and industry. The learning capability of convolutional neural …
performance in academia and industry. The learning capability of convolutional neural …
Structured pruning for deep convolutional neural networks: A survey
The remarkable performance of deep Convolutional neural networks (CNNs) is generally
attributed to their deeper and wider architectures, which can come with significant …
attributed to their deeper and wider architectures, which can come with significant …
Model compression and hardware acceleration for neural networks: A comprehensive survey
Domain-specific hardware is becoming a promising topic in the backdrop of improvement
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
Speech recognition using deep neural networks: A systematic review
Over the past decades, a tremendous amount of research has been done on the use of
machine learning for speech processing applications, especially speech recognition …
machine learning for speech processing applications, especially speech recognition …
A survey on green deep learning
In recent years, larger and deeper models are springing up and continuously pushing state-
of-the-art (SOTA) results across various fields like natural language processing (NLP) and …
of-the-art (SOTA) results across various fields like natural language processing (NLP) and …
Mcdnn: An approximation-based execution framework for deep stream processing under resource constraints
We consider applying computer vision to video on cloud-backed mobile devices using Deep
Neural Networks (DNNs). The computational demands of DNNs are high enough that …
Neural Networks (DNNs). The computational demands of DNNs are high enough that …
Fast, lean, and accurate: Modeling password guessability using neural networks
Human-chosen text passwords, today's dominant form of authentication, are vulnerable to
guessing attacks. Unfortunately, existing approaches for evaluating password strength by …
guessing attacks. Unfortunately, existing approaches for evaluating password strength by …
Transfer learning for speech and language processing
Transfer learning is a vital technique that generalizes models trained for one setting or task
to other settings or tasks. For example in speech recognition, an acoustic model trained for …
to other settings or tasks. For example in speech recognition, an acoustic model trained for …
An overview of neural network compression
Overparameterized networks trained to convergence have shown impressive performance
in domains such as computer vision and natural language processing. Pushing state of the …
in domains such as computer vision and natural language processing. Pushing state of the …
Recent progresses in deep learning based acoustic models
In this paper, we summarize recent progresses made in deep learning based acoustic
models and the motivation and insights behind the surveyed techniques. We first discuss …
models and the motivation and insights behind the surveyed techniques. We first discuss …