221 citations · 645 across the 25 of their papers we have counts for
25 papers
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials
Wenmiao Hu, Yichen Zhang, Yuxuan Liang +6
Street-view imagery provides us with novel experiences to explore different places remotely. Carefully calibrated street-view images (e.g. Google Street View) can be used for diffe…
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng +2
In collaborative learning with streaming data, nodes (e.g., organizations) jointly and continuously learn a machine learning (ML) model by sharing the latest model updates computed…
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh +2
Existing neural active learning algorithms have aimed to optimize the predictive performance of neural networks (NNs) by selecting data for labelling. However, other than a good pr…
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel +3
Sentence representations are a critical component in NLP applications such as retrieval, question answering, and text classification. They capture the meaning of a sentence, enabli…
Constructing and Interpreting Causal Knowledge Graphs from News
Fiona Anting Tan, Debdeep Paul, Sahim Yamaura +2
Many financial jobs rely on news to learn about causal events in the past and present, to make informed decisions and predictions about the future. With the ever-increasing amount…
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
Naibo Wang, Wenjie Feng, Fusheng Liu +2
The emerging availability of trained machine learning models has put forward the novel concept of Machine Learning Model Market in which one can harness the collective intelligence…
GPTScore: Evaluate as You Desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang +1
Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the u…
Fourier Sensitivity and Regularization of Computer Vision Models
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
Recent work has empirically shown that deep neural networks latch on to the Fourier statistics of training data and show increased sensitivity to Fourier-basis directions in the in…
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Lin Xu, Qixian Zhou, Jinlan Fu +2
Knowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure that dialog flows naturally. For document-grou…
Joint Triplet Loss Learning for Next New POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +1
Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extensi…
UniCausal: Unified Benchmark and Repository for Causal Text Mining
Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
Current causal text mining datasets vary in objectives, data coverage, and annotation schemes. These inconsistent efforts prevent modeling capabilities and fair comparisons of mode…
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
Adam Goodge, Bryan Hooi, See Kiong Ng +1
How can we detect anomalies: that is, samples that significantly differ from a given set of high-dimensional data, such as images or sensor data? This is a practical problem with n…
Syntax-informed Question Answering with Heterogeneous Graph Transformer
Fangyi Zhu, Lok You Tan, See-Kiong Ng +1
Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks. These models…
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification
Yang Xiao, Jinlan Fu, See-Kiong Ng +1
In this paper, we ask the research question of whether all the datasets in the benchmark are necessary. We approach this by first characterizing the distinguishability of datasets…
Polyglot Prompt: Multilingual Multitask PrompTraining
Jinlan Fu, See-Kiong Ng, Pengfei Liu
This paper aims for a potential architectural improvement for multilingual learning and asks: Can different tasks from different languages be modeled in a monolithic framework, i.e…
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
Vision outlooker improves the performance of vision transformers, which implements a self-attention mechanism by adding an outlook attention, a form of local attention. In natural…
Trusted Media Challenge Dataset and User Study
Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler +1
The development of powerful deep learning technologies has brought about some negative effects to both society and individuals. One such issue is the emergence of fake media. To ta…
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, See Kiong Ng +1
Many well-established anomaly detection methods use the distance of a sample to those in its local neighbourhood: so-called `local outlier methods', such as LOF and DBSCAN. They ar…
NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection
Fiona Anting Tan, See-Kiong Ng
Automatic identification of cause-effect spans in financial documents is important for causality modelling and understanding reasons that lead to financial events. To exploit the o…
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Dacheng Chen, Dan Li, Xiuqin Xu +2
Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even ear…
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Nicholas Lim, Bryan Hooi, See-Kiong Ng +4
Next destination recommendation is an important task in the transportation domain of taxi and ride-hailing services, where users are recommended with personalized destinations give…
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +4
Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural Networ…
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks
Baihong Jin, Dan Li, Seshadhri Srinivasan +3
Early detection of incipient faults is of vital importance to reducing maintenance costs, saving energy, and enhancing occupant comfort in buildings. Popular supervised learning mo…
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li, Dacheng Chen, Lei Shi +3
The prevalence of networked sensors and actuators in many real-world systems such as smart buildings, factories, power plants, and data centers generate substantial amounts of mult…