34 citations · 114 across the 20 of their papers we have counts for
5 papers · 1 filter
Dynamic Data Selection for Curriculum Learning via Ability Estimation
John P. Lalor, Hong Yu
Curriculum learning methods typically rely on heuristics to estimate the difficulty of training examples or the ability of the model. In this work, we propose replacing difficulty…
Birth-Burst in Evolving Networks
Dong Chen, Hong Yu
The evolution of complex networks is governed by both growing rules and internal properties. Most evolving network models (e.g. preferential attachment) emphasize on the growing st…
Calibrating Structured Output Predictors for Natural Language Processing
Abhyuday Jagannatha, Hong Yu
We address the problem of calibrating prediction confidence for output entities of interest in natural language processing (NLP) applications. It is important that NLP applications…
Neural Data-to-Text Generation with Dynamic Content Planning
Kai Chen, Fayuan Li, Baotian Hu +3
Neural data-to-text generation models have achieved significant advancement in recent years. However, these models have two shortcomings: the generated texts tend to miss some vita…
Continual Domain-Tuning for Pretrained Language Models
Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat +1
Pre-trained language models (LM) such as BERT, DistilBERT, and RoBERTa can be tuned for different domains (domain-tuning) by continuing the pre-training phase on a new target domai…