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. 1904.08377
  4. Cited By
Gaze Training by Modulated Dropout Improves Imitation Learning

Gaze Training by Modulated Dropout Improves Imitation Learning

17 April 2019
Yuying Chen
Congcong Liu
L. Tai
Ming Liu
Bertram E. Shi
ArXivPDFHTML

Papers citing "Gaze Training by Modulated Dropout Improves Imitation Learning"

6 / 6 papers shown
Title
Design Strategy Network: A deep hierarchical framework to represent
  generative design strategies in complex action spaces
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
25
13
0
07 Oct 2021
Recent Advances in Leveraging Human Guidance for Sequential
  Decision-Making Tasks
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang
F. Torabi
Garrett A. Warnell
Peter Stone
83
28
0
13 Jul 2021
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari
  Games
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
Chaitanya Thammineni
Hemanth Manjunatha
Ehsan Esfahani
16
6
0
05 Dec 2020
Robot Navigation in Crowds by Graph Convolutional Networks with
  Attention Learned from Human Gaze
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Y. Chen
Congcong Liu
Ming Liu
Bertram E. Shi
GNN
HAI
19
118
0
23 Sep 2019
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks
  to Unseen Environments
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments
Congcong Liu
Yuying Chen
L. Tai
Ming Liu
Bertram Shi
6
2
0
10 Jul 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1