29 citations · 33 across the 13 of their papers we have counts for
9 papers
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
Tao Feng, Lizhen Qu, Zhuang Li +3
Machine learning models have made incredible progress, but they still struggle when applied to examples from unseen domains. This study focuses on a specific problem of domain gene…
A new family of -tight sets with an automorphism group
Tao Feng, Weicong Li, Qing Xiang
In this paper, we construct a new family of -tight sets in or according as or . The novelty of the construction is the use…
Refined Response Distillation for Class-Incremental Player Detection
Liang Bai, Hangjie Yuan, Tao Feng +2
Detecting players from sports broadcast videos is essential for intelligent event analysis. However, existing methods assume fixed player categories, incapably accommodating the re…
SocialDial: A Benchmark for Socially-Aware Dialogue Systems
Haolan Zhan, Zhuang Li, Yufei Wang +10
Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current…
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery
Tao Feng, Lizhen Qu, Gholamreza Haffari
In this paper, we conduct the first study on spurious correlations for open-domain response generation models based on a corpus CGDIALOG curated in our work. The cur rent models in…
Progressive Learning without Forgetting
Tao Feng, Hangjie Yuan, Mang Wang +3
Learning from changing tasks and sequential experience without forgetting the obtained knowledge is a challenging problem for artificial neural networks. In this work, we focus on…