ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.14878
  4. Cited By
Growing Deep Forests Efficiently with Soft Routing and Learned
  Connectivity

Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity

29 December 2020
Jianghao Shen
Sicheng Wang
Zhangyang Wang
ArXivPDFHTML

Papers citing "Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity"

6 / 6 papers shown
Title
Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster
  Assignments for Compressing Deep Convolutions
Deep kkk-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu
Yue Wang
Zhenyu Wu
Zhangyang Wang
Ashok Veeraraghavan
Yingyan Lin
20
115
0
24 Jun 2018
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
24
4,584
0
26 Oct 2017
Forward Thinking: Building and Training Neural Networks One Layer at a
  Time
Forward Thinking: Building and Training Neural Networks One Layer at a Time
Chris Hettinger
Tanner Christensen
Ben Ehlert
J. Humpherys
Tyler J. Jarvis
Sean Wade
AI4CE
13
45
0
08 Jun 2017
Forward Thinking: Building Deep Random Forests
Forward Thinking: Building Deep Random Forests
Kevin Miller
Chris Hettinger
J. Humpherys
Tyler J. Jarvis
David Kartchner
AI4CE
21
41
0
20 May 2017
Deep Forest
Deep Forest
Zhi Zhou
Ji Feng
37
1,008
0
28 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
442
36,599
0
25 Aug 2016
1