research
∙
11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
share
research
∙
10/22/2022
Hard Gate Knowledge Distillation – Leverage Calibration for Robust and Reliable Language Model
In knowledge distillation, a student model is trained with supervisions ...
research
∙
10/22/2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation
Overconfidence has been shown to impair generalization and calibration o...
research
∙
09/09/2022
Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm
Analyzing large graph data is an essential part of many modern applicati...
research
∙
03/22/2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
Building models of natural language processing (NLP) is challenging in l...
research
∙
08/01/2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
Text style transfer aims to alter the style (e.g., sentiment) of a sente...
research
∙
05/21/2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Personalized conversation models (PCMs) generate responses according to ...
research
∙
05/13/2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Neural conversation models are known to generate appropriate but non-inf...
research
∙
01/01/2020
