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. 1905.04509
  4. Cited By
Training CNNs with Selective Allocation of Channels

Training CNNs with Selective Allocation of Channels

International Conference on Machine Learning (ICML), 2019
11 May 2019
Jongheon Jeong
Jinwoo Shin
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Training CNNs with Selective Allocation of Channels"

7 / 7 papers shown
Dynamic Shuffle: An Efficient Channel Mixture Method
Dynamic Shuffle: An Efficient Channel Mixture Method
Kaijun Gong
Zhuowen Yin
Yushu Li
K. Guo
Xiangmin Xu
255
2
0
04 Oct 2023
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight ValuesACM Multimedia (ACM MM), 2021
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
140
1
0
09 Oct 2021
Improving Computational Efficiency in Visual Reinforcement Learning via
  Stored Embeddings
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsNeural Information Processing Systems (NeurIPS), 2021
Lili Chen
Kimin Lee
A. Srinivas
Pieter Abbeel
OffRL
212
13
0
04 Mar 2021
State Entropy Maximization with Random Encoders for Efficient
  Exploration
State Entropy Maximization with Random Encoders for Efficient ExplorationInternational Conference on Machine Learning (ICML), 2021
Younggyo Seo
Lili Chen
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
258
146
0
18 Feb 2021
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity
  Utilization
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization
Wissam J. Baddar
Seungju Han
Seon-Min Rhee
Jae-Joon Han
99
1
0
13 Feb 2021
Volumetric Transformer Networks
Volumetric Transformer NetworksEuropean Conference on Computer Vision (ECCV), 2020
Seungryong Kim
Sabine Süsstrunk
Mathieu Salzmann
ViT
202
5
0
18 Jul 2020
Efficient Saliency Maps for Explainable AI
Efficient Saliency Maps for Explainable AI
T. Nathan Mundhenk
Barry Y. Chen
Gerald Friedland
XAIFAtt
151
89
0
26 Nov 2019
1