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. 1511.06297
  4. Cited By
Conditional Computation in Neural Networks for faster models

Conditional Computation in Neural Networks for faster models

19 November 2015
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
    AI4CE
ArXivPDFHTML

Papers citing "Conditional Computation in Neural Networks for faster models"

24 / 74 papers shown
Title
Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
53
87
0
05 Oct 2020
Multi-modal Experts Network for Autonomous Driving
Multi-modal Experts Network for Autonomous Driving
Shihong Fang
A. Choromańska
MoE
28
5
0
18 Sep 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under
  Data Transfer Limitations
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations
Alhabib Abbas
Y. Andreopoulos
MoE
19
18
0
21 Aug 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic
  Sharding
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin
HyoukJoong Lee
Yuanzhong Xu
Dehao Chen
Orhan Firat
Yanping Huang
M. Krikun
Noam M. Shazeer
Z. Chen
MoE
43
1,108
0
30 Jun 2020
Which scaling rule applies to Artificial Neural Networks
Which scaling rule applies to Artificial Neural Networks
János Végh
37
9
0
15 May 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
46
146
0
21 Feb 2020
Attention over Parameters for Dialogue Systems
Attention over Parameters for Dialogue Systems
Andrea Madotto
Zhaojiang Lin
Chien-Sheng Wu
Jamin Shin
Pascale Fung
30
20
0
07 Jan 2020
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
39
200
0
30 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural
  Networks using Partial Reconfiguration on FPGA
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA
Mohammad Farhadi
Mehdi Ghasemi
Yezhou Yang
22
27
0
05 Sep 2019
Conditional Computation for Continual Learning
Conditional Computation for Continual Learning
Min-Bin Lin
Jie Fu
Yoshua Bengio
CLL
31
10
0
16 Jun 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
Routing Networks and the Challenges of Modular and Compositional
  Computation
Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
40
78
0
29 Apr 2019
Question Guided Modular Routing Networks for Visual Question Answering
Question Guided Modular Routing Networks for Visual Question Answering
Yanze Wu
Qiang Sun
Jianqi Ma
Bin Li
Yanwei Fu
Yao Peng
Xiangyang Xue
23
1
0
17 Apr 2019
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
30
46
0
26 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
36
445
0
21 Nov 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
33
765
0
29 Oct 2018
Mode Normalization
Mode Normalization
Lucas Deecke
Iain Murray
Hakan Bilen
OOD
29
33
0
12 Oct 2018
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
44
382
0
30 Nov 2017
Deep Convolutional Decision Jungle for Image Classification
Deep Convolutional Decision Jungle for Image Classification
Seungryul Baek
K. Kim
Tae-Kyun Kim
21
17
0
06 Jun 2017
Metacontrol for Adaptive Imagination-Based Optimization
Metacontrol for Adaptive Imagination-Based Optimization
Jessica B. Hamrick
A. J. Ballard
Razvan Pascanu
Oriol Vinyals
N. Heess
Peter W. Battaglia
24
69
0
07 May 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
15
102
0
17 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
55
2,513
0
23 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
24
200
0
02 Jan 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
Previous
12