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ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural
  Projections
v1v2 (latest)

ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections

2 August 2017
Sujith Ravi
ArXiv (abs)PDFHTML

Papers citing "ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections"

31 / 31 papers shown
EELBERT: Tiny Models through Dynamic Embeddings
EELBERT: Tiny Models through Dynamic EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Gabrielle Cohn
Rishika Agarwal
Deepanshu Gupta
Siddharth Patwardhan
195
3
0
31 Oct 2023
Gated Compression Layers for Efficient Always-On Models
Gated Compression Layers for Efficient Always-On Models
Haiguang Li
T. Thormundsson
I. Poupyrev
N. Gillian
268
3
0
15 Mar 2023
Tiny-Attention Adapter: Contexts Are More Important Than the Number of
  Parameters
Tiny-Attention Adapter: Contexts Are More Important Than the Number of ParametersConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hongyu Zhao
Hao Tan
Hongyuan Mei
MoE
270
19
0
18 Oct 2022
pNLP-Mixer: an Efficient all-MLP Architecture for Language
pNLP-Mixer: an Efficient all-MLP Architecture for LanguageAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Francesco Fusco
Damian Pascual
Peter W. J. Staar
Diego Antognini
255
35
0
09 Feb 2022
Speaker and Time-aware Joint Contextual Learning for Dialogue-act
  Classification in Counselling Conversations
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling ConversationsWeb Search and Data Mining (WSDM), 2021
Ganeshan Malhotra
Abdul Waheed
Aseem Srivastava
Md. Shad Akhtar
Tanmoy Chakraborty
223
52
0
12 Nov 2021
Signature-Graph Networks
Signature-Graph Networks
Ali Hamdi
Flora D. Salim
D. Kim
Xiaojun Chang
210
2
0
22 Oct 2021
Tiny Neural Models for Seq2Seq
Tiny Neural Models for Seq2Seq
A. Kandoor
182
0
0
07 Aug 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLMMedIm
376
589
0
16 Jun 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic
  Segmentation on the Edge
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
Xiaoyue Wen
M. Famouri
Andrew Hryniowski
Alexander Wong
SSeg
223
7
0
29 Apr 2021
TeLCoS: OnDevice Text Localization with Clustering of Script
TeLCoS: OnDevice Text Localization with Clustering of ScriptIEEE International Joint Conference on Neural Network (IJCNN), 2021
Rachit S Munjal
Manoj Goyal
Rutika Moharir
Sukumar Moharana
229
4
0
16 Apr 2021
Adversarially Robust and Explainable Model Compression with On-Device
  Personalization for Text Classification
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification
Yao Qiang
Supriya Tumkur Suresh Kumar
Marco Brocanelli
D. Zhu
AAML
242
0
0
10 Jan 2021
Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers
Reduced Order Modeling using Shallow ReLU Networks with Grassmann LayersMathematical and Scientific Machine Learning (MSML), 2020
K. Bollinger
Hayden Schaeffer
209
3
0
17 Dec 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via
  Visual Attention Condensers
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
A. Wong
M. Famouri
M. Shafiee
169
23
0
30 Sep 2020
DiverseNet: When One Right Answer is not Enough
DiverseNet: When One Right Answer is not Enough
Michael Firman
Neill D. F. Campbell
Lourdes Agapito
Gabriel J. Brostow
3DHOOD
360
24
0
24 Aug 2020
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
N. Sanket
Chahat Deep Singh
Cornelia Fermuller
Yiannis Aloimonos
214
10
0
11 Jun 2020
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
Hamidreza Keshavarz
M. S. Abadeh
Reza Rawassizadeh
288
16
0
08 Jun 2020
ProFormer: Towards On-Device LSH Projection Based Transformers
ProFormer: Towards On-Device LSH Projection Based TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Chinnadhurai Sankar
Sujith Ravi
Zornitsa Kozareva
263
9
0
13 Apr 2020
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional
  Neural Network Object Detectors
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object DetectorsACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2019
George Plastiras
C. Kyrkou
T. Theocharides
395
12
0
14 Nov 2019
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive
  Model Selection
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model SelectionACM Transactions on Embedded Computing Systems (ACM TECS), 2019
Vicent Sanz Marco
Ben Taylor
Liang Luo
Y. Elkhatib
189
77
0
09 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
547
180
0
02 Nov 2019
On-Device Text Representations Robust To Misspellings via Projections
On-Device Text Representations Robust To Misspellings via Projections
Chinnadhurai Sankar
Sujith Ravi
Zornitsa Kozareva
184
2
0
14 Aug 2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge
  Devices
A Neural Network-Based On-device Learning Anomaly Detector for Edge DevicesIEEE transactions on computers (IEEE Trans. Comput.), 2019
Mineto Tsukada
Masaaki Kondo
Hiroki Matsutani
288
84
0
23 Jul 2019
Transferable Neural Projection Representations
Transferable Neural Projection RepresentationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Chinnadhurai Sankar
Sujith Ravi
Zornitsa Kozareva
155
8
0
04 Jun 2019
Learning Compact Neural Networks Using Ordinary Differential Equations
  as Activation Functions
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
MohamadAli Torkamani
Phillip Wallis
Shiv Shankar
Pedram Rooshenas
121
5
0
19 May 2019
EdgeSegNet: A Compact Network for Semantic Segmentation
EdgeSegNet: A Compact Network for Semantic Segmentation
Z. Q. Lin
Brendan Chwyl
A. Wong
SSeg
168
9
0
10 May 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via
  Human-Machine Collaborative Design
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
A. Wong
Z. Q. Lin
Brendan Chwyl
HAI
230
14
0
18 Mar 2019
Understanding Chat Messages for Sticker Recommendation in Messaging Apps
Understanding Chat Messages for Sticker Recommendation in Messaging Apps
Abhishek Laddha
Mohamed Hanoosh
Debdoot Mukherjee
Parth Patwa
Ankur Narang
260
19
0
07 Feb 2019
Activation Adaptation in Neural Networks
Activation Adaptation in Neural Networks
Farnoush Farhadi
V. Nia
Andrea Lodi
AI4CE
238
15
0
28 Jan 2019
FermiNets: Learning generative machines to generate efficient neural
  networks via generative synthesis
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
A. Wong
M. Shafiee
Brendan Chwyl
Francis Li
200
66
0
17 Sep 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
Julian Faraone
Nicholas J. Fraser
Michaela Blott
Philip H. W. Leong
MQ
422
141
0
01 Jul 2018
Adaptive Selection of Deep Learning Models on Embedded Systems
Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor
Vicent Sanz Marco
W. Wolff
Yehia El-khatib
Zheng Wang
299
15
0
11 May 2018
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