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deep neural networks (võtmesõna)
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1
artikkel ajakirjas
AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
IEEE transactions on device and materials reliability
2024
/
p. 66-75 : ill
https://doi.org//10.1109/TDMR.2024.3523386
artikkel ajakirjas
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
2
artikkel kogumikus EST
/
artikkel kogumikus ENG
AdAM: adaptive fault-tolerant approximate multiplier for edge DNN accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Rafiq, Ahsan
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings
2024
https://doi.org/10.1109/ETS61313.2024.10567161
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
artikkel kogumikus
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
7 p
https://doi.org/10.1109/DASC50938.2020.9256519
artikkel kogumikus
4
artikkel kogumikus
Composing graph theory and deep neural networks to evaluate SEU type soft error effects
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020
2020
https://doi.org/10.1109/MECO49872.2020.9134279
artikkel kogumikus
Seotud publikatsioonid
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
5
artikkel kogumikus EST
/
artikkel kogumikus ENG
Data augmentation and teacher-student training for LF-MMI based robust speech recognition
Ullah, Asad
;
Alumäe, Tanel
Text, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings
2018
/
p. 403-410
https://doi.org/10.1007/978-3-030-00794-2_43
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
6
artikkel kogumikus
DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN accelerators
Taheri, Mahdi
;
Riazati, Mohamad
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Sjödin, Mikael
;
Lisper, Björn
2023 24th International Symposium on Quality Electronic Design (ISQED)
2023
/
8 p. : ill
https://doi.org/10.1109/ISQED57927.2023.10129353
artikkel kogumikus
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
7
artikkel kogumikus
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA
Riazati, Mohammad
;
Daneshtalab, Masoud
;
Sjodin, Mikael
;
Lisper, Bjorn
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings
2020
/
4 p
https://doi.org/10.1109/ICECS49266.2020.9294881
artikkel kogumikus
8
artikkel kogumikus EST
/
artikkel kogumikus ENG
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Ansari, Mohammad Saeed
;
Jenihhin, Maksim
;
Mahani, Ali
;
Daneshtalab, Masoud
;
Raik, Jaan
Proceedings of the Twenty Fifth International Symposium on Quality ElectronicDesign : ISQED 2024
2024
/
8 p. : ill
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372
https://doi.org/10.1109/ISQED60706.2024.10528372
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
9
artikkel kogumikus EST
/
artikkel kogumikus ENG
FARMUR: fair adversarial retraining to mitigate unfairness in robustness
Mousavi, Seyed Ali
;
Mousavi, Hamid
;
Daneshtalab, Masoud
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
2023
/
p. 133-145
https://doi.org/10.1007/978-3-031-42914-9_10
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
10
artikkel kogumikus EST
/
artikkel kogumikus ENG
FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs
Nazari, Samira
;
Taheri, Mahdi
;
Azarpeyvand, Ali
;
Afsharchi, Mohsen
;
Ghasempouri, Tara
;
Herglotz, Christian
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
2024 IEEE 33rd Asian Test Symposium (ATS)
2024
/
p. 1-6 : ill
https://doi.org//10.1109/ATS64447.2024.10915463
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
11
artikkel kogumikus
Gate-level graph representation learning : a step towards the improved stuck-at faults analysis
Balakrishnan, Aneesh
;
Alexandrescu, Dan
;
Jenihhin, Maksim
;
Lange, Thomas
;
Glorieux, Maximilien
Proceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 2021
2021
/
p. 24-30
https://doi.org/10.1109/ISQED51717.2021.9424256
artikkel kogumikus
Seotud publikatsioonid
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
12
artikkel kogumikus EST
/
artikkel kogumikus ENG
Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability
Cherezova, Natalia
;
Pappalardo, Salvatore
;
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Deveautour, Bastien
;
Bosio, Alberto
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)
2024
/
4 p. : ill
https://doi.org//10.1109/VLSI-SoC62099.2024.10767798
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
13
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Reliability-Aware Hyperparameter Optimization for ANN-to-SNN Conversion
Sharifian, Saeed
;
Taheri, Mahdi
;
Rashtchi, Vahid
;
Azarpeyvand, Ali
;
Herglotz, Christian
;
Jenihhin, Maksim
Works in Progress in Embedded Computing Journal WiPiEC Journal
2025
/
p. 1-7
https://doi.org/10.64552/wipiec.v11i1.85
https://www.wipiec.digitalheritage.me/index.php/wipiecjournal/article/view/85
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
14
artikkel kogumikus
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
Taheri, Mahdi
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
;
Pappalardo, Salvatore
;
Jimenez, Paul
;
Deveautour, Bastien
;
Bosio, Alberto
2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland
2024
/
p. 19–24 : ill
https://doi.org/10.1109/DDECS60919.2024.10508925
Article at Scopus
Article at WOS
artikkel kogumikus
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
15
artikkel kogumikus EST
/
artikkel kogumikus ENG
Special session : approximation and fault resiliency of DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Barbareschi, Mario
;
Barone, Salvatore
;
Bosio, Alberto
;
Daneshtalab, Masoud
;
Torca, Salvatore Della
;
Gavarini, Gabriele
;
Jenihhin, Maksim
;
Raik, Jaan
;
Taheri, Mahdi
2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings
2023
/
10 p. : ill
https://doi.org/10.1109/VTS56346.2023.10140043
Conference proceeding at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
16
artikkel kogumikus EST
/
artikkel kogumikus ENG
Special session: reliability assessment recipes for DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Bosio, Alberto
;
Deveautour, Bastien
;
Dos Santos, Fernando Fernandes
;
Guerrero-Balaguera, Juan-David
;
Jenihhin, Maksim
;
Kritikakou, Angeliki
;
Sierra, Robert Limas
;
Raik, Jaan
;
Taheri, Mahdi
42nd IEEE VLSI Test Symposium, VTS 2024 : proceedings
2024
/
11 p. : ill
https://doi.org/10.1109/VTS60656.2024.10538707
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
17
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A systematic literature review on hardware reliability assessment methods for deep neural networks
Ahmadilivani, Mohammad Hasan
;
Taheri, Mahdi
;
Raik, Jaan
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
ACM Computing Surveys
2024
/
art. 141, 39 p. : ill
https://doi.org/10.1145/3638242
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
2
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
18
artikkel kogumikus EST
/
artikkel kogumikus ENG
ZED-TTE: Zone embedding and deep neural network based travel time estimation approach
Ounoughi, Chahinez
;
Yeferny, Taoufik
;
Ben Yahia, Sadok
2021 International Joint Conference on Neural Networks (IJCNN) : proceedings
2021
/
10 p
https://doi.org/10.1109/IJCNN52387.2021.9533456
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Kirjeid leitud 18, kuvan
1 - 18
võtmesõna
206
1.
deep neural networks
2.
deep neural networks (DNNs)
3.
deep convolutional neural network
4.
deep neural network
5.
deep neural network compression
6.
artificial neural networks
7.
artificial neural networks (ANN)
8.
Biological neural networks
9.
constrained artificial neural networks
10.
Constrained neural networks
11.
convolutional neural networks
12.
convolutional neural networks (CNNa)
13.
Convolutional Neural Networks (CNNs)
14.
Fuzzy neural networks
15.
graph neural networks
16.
multilayer neural networks
17.
neural networks
18.
neural-networks
19.
pre-trained neural networks
20.
recurrent neural networks
21.
recurrent neural networks (RNN)
22.
recurrent neural networks (RNNs)
23.
spiking neural networks
24.
deep donor-deep acceptor pairs
25.
deep brain stimulation
26.
Deep defects
27.
deep energy levels
28.
deep energy renovation
29.
deep eutectic solvents
30.
deep fake
31.
deep fake recognition
32.
deep habits
33.
deep heat well
34.
deep inference
35.
deep layer
36.
deep learning
37.
deep learning (DL)
38.
deep learning classifier
39.
deep learning method
40.
deep learning methods
41.
deep learning model
42.
deep learning model quantization
43.
deep learning network
44.
deep level
45.
deep level traps
46.
deep levels
47.
deep offshore
48.
deep packet inspection
49.
deep reinforcement learning
50.
Deep reinforcing learning SDN
51.
deep renovation
52.
deep understanding
53.
Deep-learning
54.
deep-learning (DL)
55.
deep-sea mining
56.
embedded deep learning
57.
natural deep eutectic solvents
58.
naturally available deep eutectic solvents
59.
nZEB deep energy renovation
60.
nZEB deep renovation
61.
artificial neural network
62.
Binarized Neural Network (BNN)
63.
cascaded forward neural network (CFNN)
64.
Convolutional Neural Network
65.
convolutional neural network (CNN)
66.
feedforward neural network (FFNN)
67.
Graph Convolutional Neural Network (GCN)
68.
GraphSAGE (Graph Based Neural Network)
69.
human neural progenitor cells
70.
linear Delta robots neural network based model
71.
LSTM neural network
72.
neural activity
73.
neural additive model
74.
neural architecture search
75.
neural controller
76.
neural development
77.
neural fuzzy modelling control
78.
neural machine translation
79.
neural net
80.
neural net architecture
81.
neural network
82.
neural network architecture search
83.
neural network controller
84.
neural network modelling
85.
neural network models
86.
neural network positioning algorithms
87.
neural network predictive controller
88.
neural oscillations
89.
neural processing unit
90.
neural stimulation
91.
Radial Basis Function Neural Network (RBFNN)
92.
recurrent neural network language model
93.
Residual Neural Network
94.
spiking neural network (SNN)
95.
Ternary Neural Network
96.
transformer-based neural network
97.
adaptive networks
98.
ad-hoc sensor networks security
99.
automotive communication networks
100.
Bayesian Belief Networks
101.
Bayesian networks
102.
binary search networks
103.
binary sensor networks
104.
body area networks
105.
body sensor networks
106.
cellular networks
107.
communication networks
108.
communications engineering, networks
109.
complex networks
110.
computer networks
111.
content distribution networks
112.
content-addressable storage networks
113.
convolutional networks
114.
cross-border communication networks
115.
decentralized content-addressable storage (DCAS) networks
116.
developmental networks
117.
diffusion networks
118.
digital twin networks (DTNs)
119.
distribution networks
120.
district heating networks
121.
Dynamic networks
122.
Dynamics of networks
123.
dynamics over networks
124.
ecological networks
125.
economic networks
126.
electric power transmission networks
127.
electrical distribution networks
128.
electrical networks
129.
embedded networks/NoC
130.
gateways (computer networks)
131.
generative adversarial networks
132.
geodetic networks
133.
global production networks
134.
graph attention networks
135.
graph convolutional networks
136.
heating and cooling networks
137.
heating networks
138.
hypar-formed networks
139.
IaaS cloud networks
140.
Impedance-source networks
141.
innovation networks
142.
IP networks
143.
iterative networks
144.
knowledge networks
145.
location-based social networks
146.
logistics networks
147.
Long Short-Term Memory Networks (LSTMs)
148.
low voltage networks
149.
low-voltage networks
150.
LSTM networks
151.
lumped parameter networks
152.
marketing networks
153.
metabolic networks and pathways
154.
mobile actuator-sensor networks (MAS-Net)
155.
multilayer networks
156.
NB-IoT networks
157.
networks
158.
networks coding
159.
neuro-fuzzy networks and guided missile
160.
non-terrestrial networks
161.
observational networks
162.
on-body networks (BANs)
163.
Online social networks
164.
Optical fiber networks
165.
optical fibre networks
166.
optical networks
167.
optimized routing approach for critical and emergency networks
168.
optimized routing approach for critical and emergency networks simulations
169.
packet switched networks
170.
partner networks
171.
Passive networks
172.
phantom cellular networks
173.
private networks
174.
production networks
175.
Public safety networks
176.
public safety networks (PSN)
177.
public safety networks (PSNs)
178.
radio access networks
179.
reconfigurable scan networks
180.
regional innovation networks
181.
scale-free networks
182.
sensor networks
183.
small district heating networks
184.
SME networks
185.
social networks
186.
social networks
187.
software defined networks (SDN)
188.
sorting networks
189.
supply networks
190.
transmission networks
191.
unreliable wireless networks
192.
WBANs (wireless body area networks)
193.
wearable wireless networks
194.
wearable wireless networks (WWNs)
195.
weighted networks
196.
wireless ad hoc sensor networks
197.
Wireless Body Area Networks
198.
wireless body area networks (WBANs)
199.
wireless body-to-body networks (BBN)
200.
wireless networks
201.
wireless sensor networks
202.
wireless sensor networks (WSN)
203.
virtual networks
204.
5G networks
205.
5G networks
206.
5G nomadic networks
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