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07/03/2023
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
This work addresses the challenging domain adaptation setting in which k...
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04/18/2023
Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Obtaining sufficient labelled data for model training is impractical for...
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02/13/2023
Label-efficient Time Series Representation Learning: A Review
The scarcity of labeled data is one of the main challenges of applying d...
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12/03/2022
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Unsupervised Domain Adaptation (UDA) has emerged as a powerful solution ...
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08/13/2022
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Learning time-series representations when only unlabeled data or few lab...
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03/15/2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Unsupervised domain adaptation methods aim to generalize well on unlabel...
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01/14/2022
Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Re-ranking models refine the item recommendation list generated by the p...
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11/29/2021
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Unsupervised domain adaptation (UDA) has successfully addressed the doma...
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07/09/2021
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Sleep staging is of great importance in the diagnosis and treatment of s...
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06/26/2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
Learning decent representations from unlabeled time-series data with tem...
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07/28/2020
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
Latent factor models play a dominant role among recommendation technique...
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07/28/2020
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Graph-based recommendation models work well for top-N recommender system...
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07/20/2020
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction
Accurate estimation of remaining useful life (RUL) of industrial equipme...
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07/19/2020
Recent Advances in Network-based Methods for Disease Gene Prediction
Disease-gene association through Genome-wide association study (GWAS) is...
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05/17/2020
Multi-View Collaborative Network Embedding
Real-world networks often exist with multiple views, where each view des...
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03/04/2019
Ultra-Scalable Spectral Clustering and Ensemble Clustering
This paper focuses on scalability and robustness of spectral clustering ...
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10/30/2018
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities
Ensemble clustering has been a popular research topic in data mining and...
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10/09/2017
