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08/22/2023
Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
Aspect-based sentiment classification is a crucial problem in fine-grain...
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07/20/2023
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning
Session-based recommendation techniques aim to capture dynamic user beha...
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12/08/2022
CausalEGM: a general causal inference framework by encoding generative modeling
Although understanding and characterizing causal effects have become ess...
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11/23/2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
As one of the central tasks in machine learning, regression finds lots o...
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09/23/2022
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Existing methods for video-based person re-identification (ReID) mainly ...
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09/21/2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Deep learning systems have been reported to achieve state-of-the-art per...
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02/17/2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Image-based characterization and disease understanding involve integrati...
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10/12/2021
Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning
Recent single-channel speech enhancement methods usually convert wavefor...
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10/03/2021
Boost Neural Networks by Checkpoints
Training multiple deep neural networks (DNNs) and averaging their output...
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11/14/2020
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
A major challenge in the pharmaceutical industry is to design novel mole...
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08/03/2020
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
In this paper, we present a Large-Scale and high-diversity general Therm...
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04/20/2020
Roundtrip: A Deep Generative Neural Density Estimator
Density estimation is a fundamental problem in both statistics and machi...
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11/26/2019
Multi-Task Driven Feature Models for Thermal Infrared Tracking
Existing deep Thermal InfraRed (TIR) trackers usually use the feature mo...
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06/09/2019
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Existing deep Thermal InfraRed (TIR) trackers only use semantic features...
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01/18/2018
PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark
Thermal infrared (TIR) pedestrian tracking is one of the most important ...
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11/27/2017
