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Found 11 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 .
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising
The ability to record high-fidelity videos at high acquisition rates is central to the study of fast moving phenomena.
Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation
Recent works have shown the ability of Implicit Neural Representations (INR) to carry meaningful representations of signal derivatives.
Current Source Localization Using Deep Prior with Depth Weighting
This paper proposes a novel neuronal current source localization method based on Deep Prior that represents a more complicated prior distribution of current source using convolutional networks.
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.
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.
