Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Devendra Singh Chaplot"'
Publikováno v:
CVPR
This paper studies the problem of image-goal navigation which involves navigating to the location indicated by a goal image in a novel previously unseen environment. To tackle this problem, we design topological representations for space that effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f8987d7399c3984901a665896df6f6d
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
In this paper, we study the task of embodied interactive learning for object detection. Given a set of environments (and some labeling budget), our goal is to learn an object detector by having an agent select what data to obtain labels for. How shou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9900a2f15ee21ddfbf5fc8085d67e5a2
https://doi.org/10.1007/978-3-030-58539-6_19
https://doi.org/10.1007/978-3-030-58539-6_19
Publikováno v:
IJCAI
Recent efforts on training visual navigation agents conditioned on language using deep reinforcement learning have been successful in learning policies for different multimodal tasks, such as semantic goal navigation and embodied question answering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b677f6b7222d790bb36e067355e63703
http://arxiv.org/abs/1902.01385
http://arxiv.org/abs/1902.01385
Autor:
Alexey Dosovitskiy, Zamir, Amir R., Angel Chang, Devendra Singh Chaplot, Jana Kosecka, Jitendra Malik, Manolis Savva, Peter Anderson, Roozbeh Mottaghi, Saurabh Gupta, Vladlen Koltun
Publikováno v:
Web of Science
Skillful mobile operation in three-dimensional environments is a primary topic of study in Artificial Intelligence. The past two years have seen a surge of creative work on navigation. This creative output has produced a plethora of sometimes incompa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fe586329c7476909322175213fcf84d
http://arxiv.org/abs/1807.06757
http://arxiv.org/abs/1807.06757
Publikováno v:
CVPR Workshops
The ability for an agent to localize itself within an environment is crucial for many real-world applications. For unknown environments, Simultaneous Localization and Mapping (SLAM) enables incremental and concurrent building of and localizing within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4055b754adfcda2ceb1247c16908b424
https://doi.org/10.1109/cvprw.2018.00061
https://doi.org/10.1109/cvprw.2018.00061
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319938424
AIED (1)
AIED (1)
A cognitive model of human learning provides information about skills a learner must acquire to perform accurately in a task domain. Cognitive models of learning are not only of scientific interest, but are also valuable in adaptive online tutoring s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56d75d57eefe597931060d8fe582af4e
https://doi.org/10.1007/978-3-319-93843-1_4
https://doi.org/10.1007/978-3-319-93843-1_4
Autor:
Zhengzhong Liu, Zichao Yang, Xiaodan Liang, Devendra Singh Chaplot, Tiancheng Zhao, Junxian He, Lianhui Qin, Bowen Tan, Zhiting Hu, Di Wang, Xuezhe Ma, Haoran Shi, Eric P. Xing, Xingjiang Yu
Publikováno v:
Proceedings of Workshop for NLP Open Source Software (NLP-OSS).
We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks. Different from many existing toolkits that are specialized for specific applications (e.g., neural machine translation), Texar is designed to be high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dbcb8d26f4182049a71fe0b2a190f5f
https://doi.org/10.18653/v1/w18-2503
https://doi.org/10.18653/v1/w18-2503
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari games, often outperforming humans, using only raw pixels to make their decisions. However, most of these games take place in 2D environments that are full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4afb88a5802a8b8e60644631b995f41b
https://doi.org/10.1609/aaai.v31i1.10534
https://doi.org/10.1609/aaai.v31i1.10534
Publikováno v:
L@S
Adaptive learning is the core technology behind intelligent tutoring systems, which are responsible for estimating student knowledge and providing personalized instruction to students based on their skill level. In this paper, we present a new adapti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe71417907d923db43f39fca76cdab24
https://doi.org/10.1145/2876034.2893397
https://doi.org/10.1145/2876034.2893397
Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari games, often outperforming humans, using only raw pixels to make their decisions. However, most of these games take place in 2D environments that are full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a174a761615f9f28d3aa55967cf6aafa