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Found 7 papers, 2 papers with code
ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity
This article introduces a system to solve the SemEval 2022 Task 8: Multilingual News Article Similarity.
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms
In the comparison study, crack detection algorithms were trained equally on the largest public crack dataset collected and evaluated on the proposed dataset (NHA12D).
Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design
Summary of Contribution: We propose an iterative prediction-and-optimization algorithm for multilevel distribution network design for e-logistics and evaluate its operational value for online retailers.
Collective Argumentation: The Case of Aggregating Support-Relations of Bipolar Argumentation Frameworks
In many real-life situations that involve exchanges of arguments, individuals may differ on their assessment of which supports between the arguments are in fact justified, i. e., they put forward different support-relations.
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Although deep reinforcement learning (RL) has been successfully applied to a variety of robotic control tasks, it's still challenging to apply it to real-world tasks, due to the poor sample efficiency.
You Only Search Once: A Fast Automation Framework for Single-Stage DNN/Accelerator Co-design
DNN/Accelerator co-design has shown great potential in improving QoR and performance.
Preservation of Semantic Properties during the Aggregation of Abstract Argumentation Frameworks
An abstract argumentation framework can be used to model the argumentative stance of an agent at a high level of abstraction, by indicating for every pair of arguments that is being considered in a debate whether the first attacks the second.
