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09/13/2023
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
Understanding relations between objects is crucial for understanding the...
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09/08/2023
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Deep reinforcement learning agents need to be trained over millions of e...
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09/07/2023
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
State-of-the-art visual grounding models can achieve high detection accu...
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06/15/2023
Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models
While VideoQA Transformer models demonstrate competitive performance on ...
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03/06/2023
Robustness of Utilizing Feedback in Embodied Visual Navigation
This paper presents a framework for training an agent to actively reques...
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01/26/2023
FedHQL: Federated Heterogeneous Q-Learning
Federated Reinforcement Learning (FedRL) encourages distributed agents t...
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10/24/2022
Abductive Action Inference
Abductive reasoning aims to make the most likely inference for a given s...
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06/21/2022
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios
Humans with an average level of social cognition can infer the beliefs o...
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06/20/2022
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
In reality, it is often more efficient to ask for help than to search th...
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06/10/2022
ABCDE: An Agent-Based Cognitive Development Environment
Children's cognitive abilities are sometimes cited as AI benchmarks. How...
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02/14/2022
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Research in cognitive science has provided extensive evidence on human c...
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11/26/2021
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs
Attention modules for Convolutional Neural Networks (CNNs) are an effect...
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11/16/2021
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Recent work in computer vision and cognitive reasoning has given rise to...
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10/26/2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
The growing literature of Federated Learning (FL) has recently inspired ...
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10/12/2021
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Recent work in cognitive reasoning and computer vision has engendered an...
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09/10/2021
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection
To align advanced artificial intelligence (AI) with human values and pro...
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08/13/2021
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments
Recent advancements in deep learning, computer vision, and embodied AI h...
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06/25/2021
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation
Navigation to multiple cued reward locations has been increasingly used ...
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06/07/2021
One-shot learning of paired associations by a reservoir computing model with Hebbian plasticity
One-shot learning can be achieved by algorithms and animals, but how the...
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03/08/2021
A Survey of Embodied AI: From Simulators to Research Tasks
There has been an emerging paradigm shift from the era of "internet AI" ...
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10/03/2020
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
The problem of task planning for artificial agents remains largely unsol...
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09/24/2019
6D Pose Estimation with Correlation Fusion
6D object pose estimation is widely applied in robotic tasks such as gra...
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03/23/2019
An End-to-End Network for Generating Social Relationship Graphs
Socially-intelligent agents are of growing interest in artificial intell...
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08/05/2015
Deep Convolutional Networks are Hierarchical Kernel Machines
In i-theory a typical layer of a hierarchical architecture consists of H...
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06/15/2014
