
LEMMA: A Multiview Dataset for Learning Multiagent Multitask Activities
Understanding and interpreting human actions is a longstanding challeng...
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Closed Loop NeuralSymbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
The goal of neuralsymbolic computation is to integrate the connectionis...
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DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Exploring the intrinsic interconnections between the knowledge encoded i...
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PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
Detecting 3D objects from a single RGB image is intrinsically ambiguous,...
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Deep Model Transferability from Attribution Maps
Exploring the transferability between heterogeneous tasks sheds light on...
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Holistic++ Scene Understanding: Singleview 3D Holistic Scene Parsing and Human Pose Estimation with HumanObject Interaction and Physical Commonsense
We propose a new 3D holistic++ scene understanding problem, which jointl...
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A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Logistic regression (LR) is widely used in clinical prediction because i...
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Graph Neural Lasso for Dynamic Network Regression
In this paper, we will study the dynamic network regression problem, whi...
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Estimating FeatureLabel Dependence Using Gini Distance Statistics
Identifying statistical dependence between the features and the label is...
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Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network
Most modern successful recommender systems are based on matrix factoriza...
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DVAE: A Variational Autoencoder for Directed Acyclic Graphs
Graph structured data are abundant in the real world. Among different gr...
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A new Gini correlation between quantitative and qualitative variables
We propose a new Gini correlation to measure dependence between a catego...
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Link Prediction Based on Graph Neural Networks
Traditional methods for link prediction can be categorized into three ma...
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Extracting Actionability from Machine Learning Models by Suboptimal Deterministic Planning
A main focus of machine learning research has been improving the general...
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MultiScale Convolutional Neural Networks for Time Series Classification
Time series classification (TSC), the problem of predicting class labels...
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Compressing Convolutional Neural Networks
Convolutional neural networks (CNN) are increasingly used in many areas ...
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Compressing Neural Networks with the Hashing Trick
As deep nets are increasingly used in applications suited for mobile dev...
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SAS+ Planning as Satisfiability
Planning as satisfiability is a principal approach to planning with many...
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Theory and Algorithms for Partial Order Based Reduction in Planning
Search is a major technique for planning. It amounts to exploring a stat...
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Yixin Chen
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