Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks

2020 ◽  
Author(s):  
Zhikang Zhang ◽  
Kai Xu ◽  
Fengbo Ren
Keyword(s):  
Compressive Sensing ◽  
Compression Ratio ◽  
Data Driven ◽  
End To End

scholarly journals A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches

2021 ◽  
Vol 25 (1) ◽  
pp. 22-34 ◽  
Author(s):  
Konstantinos Kyritsis ◽  
Christos Diou ◽  
Anastasios Delopoulos
Keyword(s):  
Eating Behavior ◽  
Data Driven ◽  
In The Wild ◽  
End To End

scholarly journals Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation

2020 ◽  
Vol 5 (2) ◽  
pp. 1143-1150 ◽  
Author(s):  
Alexander Amini ◽  
Igor Gilitschenski ◽  
Jacob Phillips ◽  
Julia Moseyko ◽  
Rohan Banerjee ◽  
...  
Keyword(s):  
Robust Control ◽  
Autonomous Driving ◽  
Data Driven ◽  
Control Policies ◽  
End To End

scholarly journals A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 15587-15607 ◽  
Author(s):  
Maqbool Ali ◽  
Rahman Ali ◽  
Wajahat Ali Khan ◽  
Soyeon Caren Han ◽  
Jaehun Bang ◽  
...  
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Engineering ◽  
Data Driven ◽  
Acquisition System ◽  
Engineering Process ◽  
Production Rules ◽  
End To End

scholarly journals CAiRE: An End-to-End Empathetic Chatbot

2020 ◽  
Vol 34 (09) ◽  
pp. 13622-13623
Author(s):  
Zhaojiang Lin ◽  
Peng Xu ◽  
Genta Indra Winata ◽  
Farhad Bin Siddique ◽  
Zihan Liu ◽  
...  
Keyword(s):  
User Interface ◽  
Active Learning ◽  
Transfer Learning ◽  
User Feedback ◽  
Data Driven ◽  
Dialogue Systems ◽  
Generation Task ◽  
Web Based ◽  
End To End ◽  
Negative Training

We present CAiRE, an end-to-end generative empathetic chatbot designed to recognize user emotions and respond in an empathetic manner. Our system adapts the Generative Pre-trained Transformer (GPT) to empathetic response generation task via transfer learning. CAiRE is built primarily to focus on empathy integration in fully data-driven generative dialogue systems. We create a web-based user interface which allows multiple users to asynchronously chat with CAiRE. CAiRE also collects user feedback and continues to improve its response quality by discarding undesirable generations via active learning and negative training.

Sign in / Sign up

Export Citation Format

Share Document