793 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH5 papers
- Max Planck Institute for Intelligent SystemsDE5 papers
- University of AmsterdamNL5 papers
- University of PittsburghUS5 papers
- Max Planck SocietyDE4 papers
- Deakin UniversityAU3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- Imperial College LondonGB3 papers
- Intelligent Health (United Kingdom)GB3 papers
- Massachusetts Institute of TechnologyUS3 papers
- Seoul National UniversityKR3 papers
- Tsinghua UniversityCN3 papers
7 papers · 1 filter
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi +1
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare s…
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations
Wei Chen, Yeyun Gong, Can Xu +9
We study the problem of coarse-grained response selection in retrieval-based dialogue systems. The problem is equally important with fine-grained response selection, but is less ex…
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Yanan Wu, Zhiyuan Zeng, Keqing He +4
Existing slot filling models can only recognize pre-defined in-domain slot types from a limited slot set. In the practical application, a reliable dialogue system should know what…
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Zhiyuan Zeng, Keqing He, Yuanmeng Yan +5
Detecting Out-of-Domain (OOD) or unknown intents from user queries is essential in a task-oriented dialog system. A key challenge of OOD detection is to learn discriminative semant…
Multi-objective Digital Design Optimisation via Improved Drive Granularity Standard Cells
Linan Cao, Simon J. Bale, Martin A. Trefzer
To tackle the complexity of state-of-the-art electronic systems, silicon foundries continuously shrink the technology nodes and electronic design automation (EDA) vendors offer hie…
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification
Aswin Sivaraman, Sunwoo Kim, Minje Kim
Training personalized speech enhancement models is innately a no-shot learning problem due to privacy constraints and limited access to noise-free speech from the target user. If t…
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Xingchen Zhao, Anthony Sicilia, Davneet Minhas +5
Typical machine learning frameworks heavily rely on an underlying assumption that training and test data follow the same distribution. In medical imaging which increasingly begun a…