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From Biological Synapses to “Intelligent” Robots
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In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Finding the best way to put media bias research into practice via an annotation app ...
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Are neural language models sensitive to false belief? A computational study. ...
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| 6 |
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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| 7 |
Can distributional semantics explain performance on the false belief task? ...
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| 8 |
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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| 9 |
Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ...
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| 10 |
Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
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In: Research outputs 2014 to 2021 (2022)
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| 11 |
Integrating Blockchains and Intelligent Agents in the Pursuit of Artificial General Intelligence
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In: Senior Honors Theses (2022)
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| 12 |
Grounding Language to Autonomously-Acquired Skills via Goal Generation
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In: ICLR 2021 - Ninth International Conference on Learning Representation ; https://hal.inria.fr/hal-03121146 ; ICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria (2021)
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| 13 |
"It Is Not the Robot Who Learns, It Is Me." Treating Severe Dysgraphia Using Child-Robot Interaction
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In: ISSN: 1664-0640 ; Frontiers in Psychiatry ; https://hal.sorbonne-universite.fr/hal-03152170 ; Frontiers in Psychiatry, Frontiers, 2021, 12, pp.596055. ⟨10.3389/fpsyt.2021.596055⟩ (2021)
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| 14 |
Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021)
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| 15 |
Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
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In: ISSN: 2296-9144 ; Frontiers in Robotics and AI ; https://hal.archives-ouvertes.fr/hal-03409678 ; Frontiers in Robotics and AI, Frontiers Media S.A., 2021, 8, ⟨10.3389/frobt.2021.699090⟩ (2021)
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| 16 |
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech ...
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| 17 |
Measuring Equity Mindsets and Improvisational Practices Through Language Patterns in Equity Simulations ...
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| 18 |
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ...
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| 19 |
VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ...
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Abstract:
Interactive robots navigating photo-realistic environments need to be trained to effectively leverage and handle the dynamic nature of dialogue in addition to the challenges underlying vision-and-language navigation (VLN). In this paper, we present VISITRON, a multi-modal Transformer-based navigator better suited to the interactive regime inherent to Cooperative Vision-and-Dialog Navigation (CVDN). VISITRON is trained to: i) identify and associate object-level concepts and semantics between the environment and dialogue history, ii) identify when to interact vs. navigate via imitation learning of a binary classification head. We perform extensive pre-training and fine-tuning ablations with VISITRON to gain empirical insights and improve performance on CVDN. VISITRON's ability to identify when to interact leads to a natural generalization of the game-play mode introduced by Roman et al. (arXiv:2005.00728) for enabling the use of such models in different environments. VISITRON is competitive with models on the ... : Accepted at Findings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2022, previous version accepted at Visually Grounded Interaction and Language (ViGIL) Workshop at NAACL 2021 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; I.2.9; Machine Learning cs.LG; Robotics cs.RO
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URL: https://dx.doi.org/10.48550/arxiv.2105.11589
https://arxiv.org/abs/2105.11589
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| 20 |
Embodying Pre-Trained Word Embeddings Through Robot Actions ...
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