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Accelerating Deep Learning with Fixed Time Budget

Accelerating Deep Learning with Fixed Time Budget

3 October 2024
Muhammad Asif Khan
R. Hamila
Hamid Menouar
ArXivPDFHTML

Papers citing "Accelerating Deep Learning with Fixed Time Budget"

14 / 14 papers shown
Title
Curriculum for Crowd Counting -- Is it Worthy?
Curriculum for Crowd Counting -- Is it Worthy?
Muhammad Asif Khan
Hamid Menouar
R. Hamila
48
1
0
15 Jan 2024
CLIP: Train Faster with Less Data
CLIP: Train Faster with Less Data
Muhammad Asif Khan
R. Hamila
Hamid Menouar
VLM
59
5
0
02 Dec 2022
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
Muhammad Asif Khan
Hamid Menouar
R. Hamila
39
5
0
14 Nov 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future
  Perspectives
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan
Hamid Menouar
R. Hamila
HAI
66
57
0
14 Sep 2022
Deep Learning on a Data Diet: Finding Important Examples Early in
  Training
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
105
456
0
15 Jul 2021
Learning Error-Driven Curriculum for Crowd Counting
Learning Error-Driven Curriculum for Crowd Counting
Wenxi Li
Zhuoqun Cao
Qian Wang
Songjian Chen
Rui Feng
51
7
0
19 Jul 2020
Budgeted Training: Rethinking Deep Neural Network Training Under
  Resource Constraints
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
Mengtian Li
Ersin Yumer
Deva Ramanan
63
48
0
12 May 2019
On The Power of Curriculum Learning in Training Deep Networks
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen
D. Weinshall
ODL
68
442
0
07 Apr 2019
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Dinglong Huang
SSL
58
343
0
03 Aug 2018
Visualizing the Feature Importance for Black Box Models
Visualizing the Feature Importance for Black Box Models
Giuseppe Casalicchio
Christoph Molnar
B. Bischl
FAtt
38
183
0
18 Apr 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li
Xiaofan Zhang
Deming Chen
125
1,334
0
27 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
169
19,204
0
13 Jan 2018
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,465
0
24 Feb 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
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