9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- California Institute of TechnologyUS101 papers
- Massachusetts Institute of TechnologyUS100 papers
- Columbia UniversityUS97 papers
- Monash UniversityAU97 papers
- Stanford UniversityUS97 papers
- University of MichiganUS97 papers
- University of MinnesotaUS97 papers
- Australian National UniversityAU96 papers
- California State University, FullertonUS96 papers
- Cardiff UniversityGB96 papers
- Leibniz University HannoverDE96 papers
- LIGO Scientific CollaborationUS96 papers
6 papers · 1 filter
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases
Yunchong Liu, Xiaorui Shen, Yeyubei Zhang +4
Social media platforms like Twitter, Facebook, and Instagram have facilitated the spread of misinformation, necessitating automated detection systems. This systematic review evalua…
Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
Retrieval plays a fundamental role in recommendation systems, search, and natural language processing (NLP) by efficiently finding relevant items from a large corpus given a query.…
Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Yunxiang Zhang, Bingxuan Li, Alexandr Kuznetsov +6
Neural image representations have emerged as a promising approach for encoding and rendering visual data. Combined with learning-based workflows, they demonstrate impressive trade-…
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +3
In practical scenarios, time series forecasting necessitates not only accuracy but also efficiency. Consequently, the exploration of model architectures remains a perennially trend…
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb +4
In time series anomaly detection (TSAD), the scarcity of labeled data poses a challenge to the development of accurate models. Unsupervised domain adaptation (UDA) offers a solutio…
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Yonghao Dong, Le Wang, Sanping Zhou +2
Pedestrian trajectory prediction is a crucial component in computer vision and robotics, but remains challenging due to the domain shift problem. Previous studies have tried to tac…