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Grounding Spatio-Temporal Language with Transformers
16 June 2021
Tristan Karch
Laetitia Teodorescu
Katja Hofmann
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
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Papers citing
"Grounding Spatio-Temporal Language with Transformers"
9 / 9 papers shown
Title
UR4NNV: Neural Network Verification, Under-approximation Reachability Works!
Zhen Liang
Taoran Wu
Ran Zhao
Bai Xue
Ji Wang
Wenjing Yang
Shaojun Deng
Wanwei Liu
AAML
22
0
0
23 Jan 2024
Verifying Safety of Neural Networks from Topological Perspectives
Zhen Liang
Dejin Ren
Bai Xue
J. Wang
Wenjing Yang
Wanwei Liu
AAML
33
0
0
27 Jun 2023
Repairing Deep Neural Networks Based on Behavior Imitation
Zhen Liang
Taoran Wu
Changyuan Zhao
Wanwei Liu
Bai Xue
Wenjing Yang
J. Wang
AAML
36
5
0
05 May 2023
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
Zhen Liang
Changyuan Zhao
Wanwei Liu
Bai Xue
Wenjing Yang
Zhengbin Pang
29
1
0
02 Dec 2022
Safety Verification for Neural Networks Based on Set-boundary Analysis
Zhen Liang
Dejin Ren
Wanwei Liu
Ji Wang
Wenjing Yang
Bai Xue
AAML
36
4
0
09 Oct 2022
Trust in Language Grounding: a new AI challenge for human-robot teams
David M. Bossens
C. Evers
36
1
0
05 Sep 2022
Language and Culture Internalisation for Human-Like Autotelic AI
Cédric Colas
Tristan Karch
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
32
25
0
02 Jun 2022
Interactive Learning from Activity Description
Khanh Nguyen
Dipendra Kumar Misra
Robert Schapire
Miroslav Dudík
Patrick Shafto
47
34
0
13 Feb 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
29
85
0
17 Dec 2020
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