Alessandro Suglia
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    • AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding
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    • Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
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    • Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
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    • Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
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    • Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models
    • 'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges
    • 'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges
    • An Analysis of Visually Grounded Instructions in Embodied AI Tasks
    • Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning
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    • Visually Grounded Language Learning: a review of language games, datasets, tasks, and models
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    • Combine to Describe: Evaluating Compositional Generalization in Image Captioning
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    • Going for GOAL: A Resource for Grounded Football Commentaries
    • Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
    • An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
    • An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
    • Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
    • CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
    • CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
    • Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    • Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
    • Predicting Perceptual Speed from Search Behaviour
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    • A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks
    • A Similarity-Based Abstract Argumentation Approach to Extractive Text Summarization
    • An Automatic Procedure for Generating Datasets for Conversational Recommender Systems
    • Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems
    • Iterative Multi-document Neural Attention for Multiple Answer Prediction
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Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games

Jan 1, 2020·
Alessandro Suglia
,
Antonio Vergari
,
Ioannis Konstas
,
Yonatan Bisk
,
Emanuele Bastianelli
,
Andrea Vanzo
,
Oliver Lemon
· 0 min read
Cite URL
Type
Journal article
Publication
CoRR
Last updated on Jan 1, 2020
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