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09/02/2023
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models
Since Large Language Models or LLMs have demonstrated high-quality perfo...
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08/12/2023
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding
Spotting user-defined/flexible keywords represented in text frequently u...
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06/08/2023
Matching Latent Encoding for Audio-Text based Keyword Spotting
Using audio and text embeddings jointly for Keyword Spotting (KWS) has s...
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05/18/2023
PDP: Parameter-free Differentiable Pruning is All You Need
DNN pruning is a popular way to reduce the size of a model, improve the ...
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03/14/2023
R^2: Range Regularization for Model Compression and Quantization
Model parameter regularization is a widely used technique to improve gen...
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10/26/2022
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words
Streaming keyword spotting is a widely used solution for activating voic...
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10/24/2022
I see what you hear: a vision-inspired method to localize words
This paper explores the possibility of using visual object detection tec...
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04/05/2022
Improving Voice Trigger Detection with Metric Learning
Voice trigger detection is an important task, which enables activating a...
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08/28/2021
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
Deep neural network (DNN) model compression for efficient on-device infe...
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11/20/2020
Large Scale Neural Architecture Search with Polyharmonic Splines
Neural Architecture Search (NAS) is a powerful tool to automatically des...
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06/23/2020
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
Neural Architecture Search (NAS) is an open and challenging problem in m...
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01/14/2020
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
Knowing the similarity between sets of data has a number of positive imp...
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11/26/2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
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10/15/2019
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
Target encoding is an effective technique to deliver better performance ...
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02/01/2019
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
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11/29/2018
Data-parallel distributed training of very large models beyond GPU capacity
GPUs have limited memory and it is difficult to train wide and/or deep m...
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07/26/2018
A Unified Approximation Framework for Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
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07/26/2018
A Unified Approximation Framework for Non-Linear Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
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08/07/2017
PowerAI DDL
As deep neural networks become more complex and input datasets grow larg...
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06/21/2017
