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Found 9 papers, 2 papers with code
Building a Knowledge-Based Dialogue System with Text Infilling
However, knowledge-based dialog systems sometimes generate responses without using the retrieved knowledge. In this work, we propose a method in which the knowledge-based dialogue system can constantly utilize the retrieved knowledge using text infilling .
FasterRCNN Monitoring of Road Damages: Competition and Deployment
Maintaining aging infrastructure is a challenge currently faced by local and national administrators all around the world.
Reversible designs for extreme memory cost reduction of CNN training
This new kind of architecture enables training large neural networks on very limited memory, opening the door for neural network training on embedded devices or non-specialized hardware.
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency
Deep Neural Networks are often though to lack interpretability due to the distributed nature of their internal representations.
On zero-shot recognition of generic objects
We discuss how the presence of this new form of bias allows for a trivial solution to the standard benchmark and conclude on the need for a new benchmark.
