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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
208
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.
Complex-valued neural networks
10.
constrained artificial neural networks
11.
Constrained neural networks
12.
convolutional neural networks
13.
convolutional neural networks (CNNa)
14.
Convolutional Neural Networks (CNNs)
15.
Fuzzy neural networks
16.
graph neural networks
17.
multilayer neural networks
18.
neural networks
19.
neural-networks
20.
pre-trained neural networks
21.
recurrent neural networks
22.
recurrent neural networks (RNN)
23.
recurrent neural networks (RNNs)
24.
spiking neural networks
25.
deep donor-deep acceptor pairs
26.
deep brain stimulation
27.
Deep defects
28.
deep energy levels
29.
deep energy renovation
30.
deep eutectic solvents
31.
deep fake
32.
deep fake recognition
33.
deep habits
34.
deep heat well
35.
deep inference
36.
deep layer
37.
deep learning
38.
deep learning (DL)
39.
deep learning classifier
40.
deep learning method
41.
deep learning methods
42.
deep learning model
43.
deep learning model quantization
44.
deep learning network
45.
deep level
46.
deep level traps
47.
deep levels
48.
deep offshore
49.
deep packet inspection
50.
deep reinforcement learning
51.
Deep reinforcing learning SDN
52.
deep renovation
53.
deep understanding
54.
Deep-learning
55.
deep-learning (DL)
56.
deep-sea mining
57.
embedded deep learning
58.
natural deep eutectic solvents
59.
naturally available deep eutectic solvents
60.
nZEB deep energy renovation
61.
nZEB deep renovation
62.
artificial neural network
63.
Binarized Neural Network (BNN)
64.
cascaded forward neural network (CFNN)
65.
Convolutional Neural Network
66.
convolutional neural network (CNN)
67.
feedforward neural network (FFNN)
68.
Graph Convolutional Neural Network (GCN)
69.
GraphSAGE (Graph Based Neural Network)
70.
human neural progenitor cells
71.
linear Delta robots neural network based model
72.
LSTM neural network
73.
neural activity
74.
neural additive model
75.
neural architecture search
76.
neural controller
77.
neural development
78.
neural fuzzy modelling control
79.
neural machine translation
80.
neural net
81.
neural net architecture
82.
neural network
83.
neural network architecture search
84.
neural network controller
85.
neural network modelling
86.
neural network models
87.
neural network positioning algorithms
88.
neural network predictive controller
89.
neural oscillations
90.
neural processing unit
91.
neural stimulation
92.
Radial Basis Function Neural Network (RBFNN)
93.
recurrent neural network language model
94.
Residual Neural Network
95.
spiking neural network (SNN)
96.
Ternary Neural Network
97.
transformer-based neural network
98.
adaptive networks
99.
ad-hoc sensor networks security
100.
automotive communication networks
101.
Bayesian Belief Networks
102.
Bayesian networks
103.
binary search networks
104.
binary sensor networks
105.
body area networks
106.
body sensor networks
107.
cellular networks
108.
chemical reaction networks
109.
communication networks
110.
communications engineering, networks
111.
complex networks
112.
computer networks
113.
content distribution networks
114.
content-addressable storage networks
115.
convolutional networks
116.
cross-border communication networks
117.
decentralized content-addressable storage (DCAS) networks
118.
developmental networks
119.
diffusion networks
120.
digital twin networks (DTNs)
121.
distribution networks
122.
district heating networks
123.
Dynamic networks
124.
Dynamics of networks
125.
dynamics over networks
126.
ecological networks
127.
economic networks
128.
electric power transmission networks
129.
electrical distribution networks
130.
electrical networks
131.
embedded networks/NoC
132.
gateways (computer networks)
133.
generative adversarial networks
134.
geodetic networks
135.
global production networks
136.
graph attention networks
137.
graph convolutional networks
138.
heating and cooling networks
139.
heating networks
140.
hypar-formed networks
141.
IaaS cloud networks
142.
Impedance-source networks
143.
innovation networks
144.
IP networks
145.
iterative networks
146.
knowledge networks
147.
location-based social networks
148.
logistics networks
149.
Long Short-Term Memory Networks (LSTMs)
150.
low voltage networks
151.
low-voltage networks
152.
LSTM networks
153.
lumped parameter networks
154.
marketing networks
155.
metabolic networks and pathways
156.
mobile actuator-sensor networks (MAS-Net)
157.
multilayer networks
158.
NB-IoT networks
159.
networks
160.
networks coding
161.
neuro-fuzzy networks and guided missile
162.
non-terrestrial networks
163.
observational networks
164.
on-body networks (BANs)
165.
Online social networks
166.
Optical fiber networks
167.
optical fibre networks
168.
optical networks
169.
optimized routing approach for critical and emergency networks
170.
optimized routing approach for critical and emergency networks simulations
171.
packet switched networks
172.
partner networks
173.
Passive networks
174.
phantom cellular networks
175.
private networks
176.
production networks
177.
Public safety networks
178.
public safety networks (PSN)
179.
public safety networks (PSNs)
180.
radio access networks
181.
reconfigurable scan networks
182.
regional innovation networks
183.
scale-free networks
184.
sensor networks
185.
small district heating networks
186.
SME networks
187.
social networks
188.
social networks
189.
software defined networks (SDN)
190.
sorting networks
191.
supply networks
192.
transmission networks
193.
unreliable wireless networks
194.
WBANs (wireless body area networks)
195.
wearable wireless networks
196.
wearable wireless networks (WWNs)
197.
weighted networks
198.
wireless ad hoc sensor networks
199.
Wireless Body Area Networks
200.
wireless body area networks (WBANs)
201.
wireless body-to-body networks (BBN)
202.
wireless networks
203.
wireless sensor networks
204.
wireless sensor networks (WSN)
205.
virtual networks
206.
5G networks
207.
5G networks
208.
5G nomadic networks
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