1 code implementation • 12 Oct 2023 • Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
We also measure each architecture's predisposition towards in-context learning when presented with the option to memorize rather than leverage in-context examples.
no code implementations • 10 May 2023 • Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee
To overcome this problem, we propose a knowledge distillation (KD) strategy to create the compact deep learning model for the real-time multi-label CXR image classification.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2
no code implementations • 30 Aug 2022 • Namrata Nath, Sang-Heon Lee, Ivan Lee
894 and 0. 808 on the i2b2 2010/VA and i2b2 2012 respectively.
no code implementations • 6 Apr 2022 • Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee
In the first procedure, we propose to lower the network scale by optimizing the network structure with maximal k-edge-connected subgraphs.
no code implementations • 23 Feb 2022 • Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scholars in the field of Computer Science.
no code implementations • 16 Feb 2022 • Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia
We devise an unsupervised learning model called HAI (Heterogeneous graph Attention InfoMax) which aggregates attention mechanism and mutual information for institution recommendation.
no code implementations • Findings (NAACL) 2022 • Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick
Physical measurements constitute a large portion of numbers in academic papers, engineering reports, and web tables.
no code implementations • 11 Oct 2021 • Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee
Moreover, we summarise the characteristics and technical problems in current deep learning methods for video anomaly detection.
1 code implementation • 13 Aug 2021 • Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard, Paisarn Muneesawang, Ivan Lee
The EE-PI reduces the total number of parameters in the search process by filtering the models with fewer parameters than the maximum threshold.
Ranked #1 on Neural Architecture Search on CIFAR-10 Image Classification (Params metric)
no code implementations • 27 Aug 2020 • Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
In order to assess the efficiency of the proposed framework, four popular network representation algorithms are modified and examined.
no code implementations • 10 Aug 2020 • Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia
The problem of recommending similar scientific articles in scientific community is called scientific paper recommendation.
no code implementations • 10 Aug 2020 • Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia
Quantifying the impact of scientific papers objectively is crucial for research output assessment, which subsequently affects institution and country rankings, research funding allocations, academic recruitment and national/international scientific priorities.
no code implementations • 9 Aug 2020 • Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
Therefore, in graph learning tasks of social networks, the identification and utilization of multivariate relationship information are more important.
no code implementations • 9 Aug 2020 • Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
Empirically, we evaluate DINE over three networks on multi-label classification and link prediction tasks.
no code implementations • 21 Apr 2017 • Sebastien C. Wong, Victor Stamatescu, Adam Gatt, David Kearney, Ivan Lee, Mark D. McDonnell
We argue that by transferring the use of prior knowledge from the detection and tracking stages to the classification stage we can design a robust, general purpose object recognition system with the ability to detect and track a variety of object types.