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07/31/2023
Human Preferences and Robot Constraints Aware Shared Control for Smooth Follower Motion Execution
With the continuous advancement of robot teleoperation technology, share...
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12/05/2021
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Variable names are critical for conveying intended program behavior. Mac...
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08/13/2021
Augmenting Decompiler Output with Learned Variable Names and Types
A common tool used by security professionals for reverse-engineering bin...
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03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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06/17/2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Graph representation learning has emerged as a powerful technique for re...
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08/15/2019
Towards Knowledge-Based Recommender Dialog System
In this paper, we propose a novel end-to-end framework called KBRD, whic...
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05/14/2019
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
We propose a new CogQA framework for multi-hop question answering in web...
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03/29/2019
