Matthew Mattina
9 papers · 2019–2022 · 8 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Optimization & Theory · Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Core AI
(3)
Architectures
(2)
Learning Paradigms
(2)
Learning Types
(2)
Techniques
(2)
Natural Language Processing
(1)
Speech & Audio
(1)
Applications
(1)
Synthesis
(1)
Keywords
model compression
(6)
federated learning
(2)
weight quantization
(2)
neural architecture search
(2)
distributed learning
(1)
efficient computing
(1)
speech enhancement
(1)
low-precision networks
(1)
gradient estimation
(1)
intent detection
(1)
model pruning
(1)
convolutional neural network
(1)
long short-term memory
(1)
recurrent neural network
(1)
personalized model
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
inference efficiency
(1)
runtime optimization
(1)
model sparsity
(1)
Papers
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
NeurIPS 2022
Debiasing Model Updates for Improving Personalized Federated Training
ICML 2021
Federated Learning Based on Dynamic Regularization
ICLR 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021
Efficient Residue Number System Based Winograd Convolution
ECCV 2020
Rank and run-time aware compression of NLP Applications
EMNLP 2020
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
Interspeech 2020
Learning Low-precision Neural Networks without Straight-Through Estimator (STE)
IJCAI 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
NeurIPS 2019