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. 1811.11205
  4. Cited By
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs

27 November 2018
Zhourong Chen
Yang Li
Samy Bengio
Si Si
ArXivPDFHTML

Papers citing "You Look Twice: GaterNet for Dynamic Filter Selection in CNNs"

17 / 17 papers shown
Title
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier
Francisco Pereira
K. Wense
Lawrence E Hunter
Matt Jones
MoE
46
0
0
10 Oct 2024
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
38
0
0
13 May 2023
Spatial Mixture-of-Experts
Spatial Mixture-of-Experts
Nikoli Dryden
Torsten Hoefler
MoE
34
9
0
24 Nov 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
23
0
0
14 Oct 2022
DecisioNet: A Binary-Tree Structured Neural Network
DecisioNet: A Binary-Tree Structured Neural Network
Noam Gottlieb
M. Werman
MQ
11
1
0
03 Jul 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition
  by humans and dynamic neural networks
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
30
1
0
16 Jun 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen
T. Tran
Ky Le
Sunil R. Gupta
Santu Rana
Dang Nguyen
Trong Nguyen
S. Ryan
Svetha Venkatesh
BDL
30
6
0
13 May 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
22
1
0
10 Feb 2022
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Yikang Shen
Chun-Fu Chen
Quanfu Fan
Ximeng Sun
Kate Saenko
A. Oliva
Rogerio Feris
36
47
0
11 May 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
BasisNet: Two-stage Model Synthesis for Efficient Inference
Ruotong Wang
Chun-Te Chu
A. Zhmoginov
Andrew G. Howard
Brendan Jou
Yukun Zhu
Li Zhang
R. Hwa
Adriana Kovashka
3DH
31
7
0
07 May 2021
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
47
212
0
08 Feb 2021
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
27
57
0
07 Oct 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
Xinming Zhang
Jiawei Huang
Jian Sun
16
106
0
23 Jul 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
42
184
0
31 Mar 2020
Learning in the Frequency Domain
Learning in the Frequency Domain
Kai Xu
Minghai Qin
Fei Sun
Yuhao Wang
Yen-kuang Chen
Fengbo Ren
39
395
0
27 Feb 2020
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
Interpretable Neural Network Decoupling
Interpretable Neural Network Decoupling
Yuchao Li
Rongrong Ji
Shaohui Lin
Baochang Zhang
Chenqian Yan
Yongjian Wu
Feiyue Huang
Ling Shao
37
2
0
04 Jun 2019
1