203 citations · 1.1k across the 46 of their papers we have counts for
6 papers · 1 filter
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha, Dong Gong, Xuesong Wang +2
The standard approaches to neural network implementation yield powerful function approximation capabilities but are limited in their abilities to learn meta representations and rea…
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng, Jihong Wang, Minnan Luo +4
Due to the superior performance of Graph Neural Networks (GNNs) in various domains, there is an increasing interest in the GNN explanation problem "\emph{which fraction of the inpu…
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
Yun Li, Zhe Liu, Lina Yao +2
EEG-based tinnitus classification is a valuable tool for tinnitus diagnosis, research, and treatments. Most current works are limited to a single dataset where data patterns are si…
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
Mingfei Han, David Junhao Zhang, Yali Wang +4
Learning spatial-temporal relation among multiple actors is crucial for group activity recognition. Different group activities often show the diversified interactions between actor…
Blue Ceramics: Co-designing Morphing Ceramics for Seagrass Meadow Restoration
Rachel Arredondo, Ofri Dar, Kylon Chiang +2
Seagrass meadows are twice as efficient as forests at capturing and storing carbon, but over the last two decades they have been disappearing due to human activities. We take a nat…
Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning
Yun Li, Zhe Liu, Xiaojun Chang +2
Zero-Shot Learning (ZSL) aims to transfer classification capability from seen to unseen classes. Recent methods have proved that generalization and specialization are two essential…