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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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04/04/2023
Handling Concept Drift in Global Time Series Forecasting
Machine learning (ML) based time series forecasting models often require...
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03/14/2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
In general-sum games, the interaction of self-interested learning agents...
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11/28/2022
Subgroup analysis for the functional linear model
Classical functional linear regression models the relationship between a...
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11/08/2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
This study investigates clustered federated learning (FL), one of the fo...
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10/30/2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
NLP models are susceptible to learning spurious biases (i.e., bugs) that...
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09/14/2022
Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering
Benefiting from large-scale Pretrained Vision-Language Models (VL-PMs), ...
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08/26/2022
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
To automatically correct handwritten assignments, the traditional approa...
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05/31/2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
While various multi-agent reinforcement learning methods have been propo...
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05/25/2022
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models
Neural language models' (NLMs') reasoning processes are notoriously hard...
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11/29/2021
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering
Video Question Answering (VideoQA), aiming to correctly answer the given...
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11/09/2021
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Background: Electronic Health Records (EHRs) contain rich information of...
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10/15/2021
SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network
Single-cell sequencing has a significant role to explore biological proc...
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09/09/2021
Multi-Constraint Shortest Path using Forest Hop Labeling
The Multi-Constraint Shortest Path (MCSP) problem aims to find the short...
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07/05/2021
LightFuse: Lightweight CNN based Dual-exposure Fusion
Deep convolutional neural networks (DCNN) aided high dynamic range (HDR)...
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03/30/2021
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
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03/28/2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
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02/02/2021
Mobile-end Tone Mapping based on Integral Image and Integral Histogram
Wide dynamic range (WDR) image tone mapping is in high demand in many ap...
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01/31/2021
Tone Mapping Based on Multi-scale Histogram Synthesis
In this paper, we present a novel tone mapping algorithm that can be use...
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01/31/2021
Deep Reformulated Laplacian Tone Mapping
Wide dynamic range (WDR) images contain more scene details and contrast ...
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01/11/2021
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Currently, face detection approaches focus on facial information by vary...
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01/08/2021
A review for Tone-mapping Operators on Wide Dynamic Range Image
The dynamic range of our normal life can exceeds 120 dB, however, the sm...
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10/11/2020
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
Health departments have been deploying text classification systems for t...
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03/19/2018
