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09/19/2023
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
We introduce a new neural architecture for solving visual abstract reaso...
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05/30/2023
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
Research in child development has shown that embodied experience handlin...
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05/30/2023
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Robust network design, which aims to guarantee network availability unde...
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02/18/2023
An Approach for Solving Tasks on the Abstract Reasoning Corpus
The Abstract Reasoning Corpus (ARC) is an intelligence tests for measuri...
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02/08/2023
Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction
As being widely used to measure human intelligence, Raven's Progressive ...
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02/08/2023
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
While achieving unmatched performance on many well-defined tasks, deep l...
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08/29/2022
Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task
Raven's Progressive Matrices is a family of classical intelligence tests...
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05/31/2022
A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models
We consider a class of Cox models with time-dependent effects that may b...
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03/26/2022
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
Due to the visual ambiguity, purely kinematic formulations on monocular ...
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01/20/2022
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
Figural analogy problems have long been a widely used format in human in...
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03/18/2021
Learning Time Series from Scale Information
Sequentially obtained dataset usually exhibits different behavior at dif...
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01/29/2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Markov Logic Networks (MLNs), which elegantly combine logic rules and pr...
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10/06/2019
Learn to Explain Efficiently via Neural Logic Inductive Learning
The capability of making interpretable and self-explanatory decisions is...
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06/05/2019
Can Graph Neural Networks Help Logic Reasoning?
Effectively combining logic reasoning and probabilistic inference has be...
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03/21/2018
Connectivity-Preserving Coordination Control of Multi-Agent Systems with Time-Varying Delays
This paper presents a distributed position synchronization strategy that...
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11/16/2017
One Model for the Learning of Language
A major target of linguistics and cognitive science has been to understa...
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11/15/2017
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System
In this paper, we present LiveMedQA, a question answering system that is...
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11/04/2017
Predicting Discharge Medications at Admission Time Based on Deep Learning
Predicting discharge medications right after a patient being admitted is...
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04/15/2016