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. 2210.02549
  4. Cited By
Benchmarking Learning Efficiency in Deep Reservoir Computing

Benchmarking Learning Efficiency in Deep Reservoir Computing

29 September 2022
Hugo Cisneros
Josef Sivic
Tomas Mikolov
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Benchmarking Learning Efficiency in Deep Reservoir Computing"

7 / 7 papers shown
Title
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
103
446
0
02 Oct 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language
  Learning
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien Huu Nguyen
Yoshua Bengio
ELM
74
241
0
18 Oct 2018
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin
Tomas Mikolov
TPM
138
411
0
03 Mar 2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
Antoine Bordes
S. Chopra
Alexander M. Rush
Bart van Merriënboer
Armand Joulin
Tomas Mikolov
LRMELM
148
1,181
0
19 Feb 2015
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
97
2,328
0
20 Oct 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
251
6,779
0
03 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
149
1,442
0
21 Dec 2013
1