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09/16/2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Recently, the development of large language models (LLMs) has been signi...
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07/07/2023
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery
Street-view imagery provides us with novel experiences to explore differ...
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06/12/2023
Extending JumpProcess.jl for fast point process simulation with time-varying intensities
Point processes model the occurrence of a countable number of random poi...
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06/07/2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Existing neural active learning algorithms have aimed to optimize the pr...
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05/22/2023
Beyond Words: A Comprehensive Survey of Sentence Representations
Sentence representations have become a critical component in natural lan...
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05/16/2023
Constructing and Interpreting Causal Knowledge Graphs from News
Many jobs rely on news to learn about causal events in the past and pres...
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02/23/2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
The emerging availability of trained machine learning models has put for...
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02/08/2023
GPTScore: Evaluate as You Desire
Generative Artificial Intelligence (AI) has enabled the development of s...
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01/31/2023
Fourier Sensitivity and Regularization of Computer Vision Models
Recent work has empirically shown that deep neural networks latch on to ...
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10/05/2022
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Knowledge-grounded dialog systems need to incorporate smooth transitions...
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09/25/2022
Joint Triplet Loss Learning for Next New POI Recommendation
Sparsity of the User-POI matrix is a well established problem for next P...
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08/19/2022
UniCausal: Unified Benchmark and Model for Causal Text Mining
Current causal text mining datasets vary in objectives, data coverage, a...
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06/15/2022
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
How can we detect anomalies: that is, samples that significantly differ ...
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05/04/2022
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification
In this paper, we ask the research question of whether all the datasets ...
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04/29/2022
Polyglot Prompt: Multilingual Multitask PrompTraining
This paper aims for a potential architectural breakthrough for multiling...
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02/03/2022
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
Patient similarity assessment (PSA) is pivotal to evidence-based and per...
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12/10/2021
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Many well-established anomaly detection methods use the distance of a sa...
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10/06/2021
NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection
Automatic identification of cause-effect spans in financial documents is...
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01/19/2021
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a larg...
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12/03/2020
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Next destination recommendation is an important task in the transportati...
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10/06/2020
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Next Point-of-Interest (POI) recommendation is a longstanding problem ac...
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02/18/2019
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks
Early detection of incipient faults is of vital importance to reducing m...
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01/15/2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
The prevalence of networked sensors and actuators in many real-world sys...
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09/13/2018
