Matthew Mattina
9 papers · 2019–2022 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(5)
π
Trend Setter
Conferences
NIPS (2)
ECCV (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
UAI (1)
Top co-authors
Keywords
model compression
(6)
weight quantization
(2)
neural architecture search
(2)
matrix factorization
(1)
natural language processing
(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)
model sparsity
(1)
memory constraint
(1)
Papers
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
NIPS 2022
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021
Federated Learning Based on Dynamic Regularization
ICLR 2021
Debiasing Model Updates for Improving Personalized Federated Training
ICML 2021
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
INTERSPEECH 2020
Efficient Residue Number System Based Winograd Convolution
ECCV 2020
Rank and run-time aware compression of NLP Applications
EMNLP 2020
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
NIPS 2019
Learning Low-precision Neural Networks without Straight-Through Estimator (STE)
IJCAI 2019