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Found 11 papers, 3 papers with code
metaCAT: A Metadata-based Task-oriented Chatbot Annotation Tool
Creating high-quality annotated dialogue corpora is challenging.
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
Particularly, in order to fit the object detection settings, our proposed few-shot detector concentrates on the relations that lie in the level of objects instead of the full image with the assistance of Self-Adaptive Attention Network (SAAN).
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images
Then the object-specific features are delivered to the two-stage detection backend for the detection results.
Neural Kalman Filtering for Speech Enhancement
Statistical signal processing based speech enhancement methods adopt expert knowledge to design the statistical models and linear filters, which is complementary to the deep neural network (DNN) based methods which are data-driven.
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping
The reliability of using fully convolutional networks (FCNs) has been successfully demonstrated by recent studies in many speech applications.
Re-examining the Solar Axion Explanation for the XENON1T Excess
Meanwhile, they can also scatter with the atoms through the inverse Primakoff process via the axion-photon coupling, which emits a photon and mimics the electronic recoil signals.
High Energy Physics - Phenomenology High Energy Physics - Experiment
An Adaptive Remote Stochastic Gradient Method for Training Neural Networks
RSG is further combined with adaptive methods to construct ARSG for acceleration.
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Aspect based sentiment analysis (ABSA) can provide more detailed information than general sentiment analysis, because it aims to predict the sentiment polarities of the given aspects or entities in text.
Serendipity in dark photon searches
Searches for dark photons provide serendipitous discovery potential for other types of vector particles.
High Energy Physics - Phenomenology High Energy Physics - Experiment
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities.
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System
Then we extend the model family to a variety of bayesian online models with increasing feature embedding capabilities, such as Sparse-MLP, FM-MLP and FFM-MLP.
