Label Anchored Contrastive Learning for Language Understanding

no code implementations • NAACL 2022 • Zhenyu Zhang, Yuming Zhao, Meng Chen, Xiaodong He

Motivated by this, we propose a novel label anchored contrastive learning approach (denoted as LaCon) for language understanding.

Benchmarking Contrastive Learning +3

Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis

no code implementations • 22 Mar 2022 • Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He

Building Spoken Language Understanding (SLU) robust to Automatic Speech Recognition (ASR) errors is an essential issue for various voice-enabled virtual assistants.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Self-Adaptive Network Pruning

no code implementations • 20 Oct 2019 • Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao

Our method introduces a general Saliency-and-Pruning Module (SPM) for each convolutional layer, which learns to predict saliency scores and applies pruning for each channel.

Network Pruning

Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression

no code implementations • 16 Nov 2018 • Conghui Li, Zhaocheng Zhu, Yuming Zhao

However, due to the limitation in data sources and the subjectiveness in pain intensity values, it is hard to adopt modern deep neural networks for this problem without domain-specific auxiliary design.

Face Verification Pain Intensity Regression +1

Computing Semantic Text Similarity Using Rich Features

no code implementations • PACLIC 2015 • Yang Liu, Chengjie Sun, Lei Lin, Xiaolong Wang, Yuming Zhao

Machine Translation Question Answering +4