ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.10481
  4. Cited By
AOWS: Adaptive and optimal network width search with latency constraints

AOWS: Adaptive and optimal network width search with latency constraints

21 May 2020
Maxim Berman
Leonid Pischulin
N. Xu
Matthew B. Blaschko
Gérard Medioni
ArXiv (abs)PDFHTML

Papers citing "AOWS: Adaptive and optimal network width search with latency constraints"

20 / 20 papers shown
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous
  Devices for Single- and Multi-DNN Workloads
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN WorkloadsACM Transactions on Embedded Computing Systems (TECS), 2024
Ioannis Panopoulos
Stylianos I. Venieris
I. Venieris
301
3
0
02 Sep 2024
Unsupervised Domain Adaptation Architecture Search with Self-Training
  for Land Cover Mapping
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
Clifford Broni-Bediako
Junshi Xia
Xiangwei Zhu
AI4CE
241
6
0
23 Apr 2024
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in
  Remote Sensing
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote SensingIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Clifford Broni-Bediako
Junshi Xia
Xiangwei Zhu
279
17
0
12 Sep 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft LabelsNeural Information Processing Systems (NeurIPS), 2023
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
542
21
0
11 Feb 2023
Enabling Hard Constraints in Differentiable Neural Network and
  Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-ExplorationDesign Automation Conference (DAC), 2022
Deokki Hong
Kanghyun Choi
Hyeyoon Lee
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
142
4
0
23 Jan 2023
MRF-UNets: Searching UNet with Markov Random Fields
MRF-UNets: Searching UNet with Markov Random Fields
Zifu Wang
Matthew B. Blaschko
192
7
0
13 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
235
108
0
11 May 2022
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision
  Transformers
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision TransformersEuropean Conference on Computer Vision (ECCV), 2022
Junting Pan
Adrian Bulat
Fuwen Tan
Xiatian Zhu
Łukasz Dudziak
Jiaming Song
Georgios Tzimiropoulos
Brais Martínez
ViT
369
245
0
06 May 2022
MAPLE: Microprocessor A Priori for Latency Estimation
MAPLE: Microprocessor A Priori for Latency Estimation
Saad Abbasi
Alexander Wong
M. Shafiee
183
13
0
30 Nov 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
229
2
0
15 Oct 2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Bohong Chen
Mingbao Lin
Rongrong Ji
Liujuan Cao
129
2
0
12 Sep 2021
Architecture Aware Latency Constrained Sparse Neural Networks
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao
Qinghao Hu
Xiangyu He
Weixiang Xu
Jiaxing Wang
Cong Leng
Jian Cheng
169
0
0
01 Sep 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
Sung Ju Hwang
269
32
0
16 Jun 2021
Latency-Controlled Neural Architecture Search for Streaming Speech
  Recognition
Latency-Controlled Neural Architecture Search for Streaming Speech RecognitionAutomatic Speech Recognition & Understanding (ASRU), 2021
Liqiang He
Shulin Feng
Jane Polak Scowcroft
Dong Yu
240
0
0
08 May 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform
  Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni
S. Varshini
Alind Khare
Alexey Tumanov
104
37
0
26 Apr 2021
Towards Efficient Convolutional Network Models with Filter Distribution
  Templates
Towards Efficient Convolutional Network Models with Filter Distribution Templates
Ramon Izquierdo-Cordova
Walterio W. Mayol-Cuevas
105
2
0
17 Apr 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with
  Architecture Generator
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture GeneratorComputer Vision and Pattern Recognition (CVPR), 2021
Sian-Yao Huang
W. Chu
148
30
0
12 Mar 2021
DANCE: Differentiable Accelerator/Network Co-Exploration
DANCE: Differentiable Accelerator/Network Co-ExplorationDesign Automation Conference (DAC), 2020
Kanghyun Choi
Deokki Hong
Hojae Yoon
Joonsang Yu
Youngsok Kim
Jinho Lee
280
49
0
14 Sep 2020
Joslim: Joint Widths and Weights Optimization for Slimmable Neural
  Networks
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
Ting-Wu Chin
Ari S. Morcos
Diana Marculescu
324
10
0
23 Jul 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage ModelsEuropean Conference on Computer Vision (ECCV), 2020
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
343
324
0
24 Mar 2020
1
Page 1 of 1