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08/10/2023
Homophily-enhanced Structure Learning for Graph Clustering
Graph clustering is a fundamental task in graph analysis, and recent adv...
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08/09/2023
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR
The application of 3D ground-penetrating radar (3D-GPR) for subgrade dis...
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03/28/2023
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics
Song translation requires both translation of lyrics and alignment of mu...
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03/07/2023
LORE: Logical Location Regression Network for Table Structure Recognition
Table structure recognition (TSR) aims at extracting tables in images in...
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11/08/2022
Hilbert Distillation for Cross-Dimensionality Networks
3D convolutional neural networks have revealed superior performance in p...
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08/29/2022
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum
Data-free knowledge distillation (DFKD) aims at training lightweight stu...
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06/15/2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Clustering is a fundamental machine learning task which has been widely ...
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09/17/2021
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is an emerging fine-grained senti...
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08/23/2021
Efficient Medical Image Segmentation Based on Knowledge Distillation
Recent advances have been made in applying convolutional neural networks...
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08/12/2021
Distilling Holistic Knowledge with Graph Neural Networks
Knowledge Distillation (KD) aims at transferring knowledge from a larger...
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07/14/2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Domain Adaptation has been widely used to deal with the distribution shi...
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07/14/2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Present domain adaptation methods usually perform explicit representatio...
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03/10/2021
Cross-modal Image Retrieval with Deep Mutual Information Maximization
In this paper, we study the cross-modal image retrieval, where the input...
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11/24/2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Graph neural networks (GNNs) have emerged as effective approaches for gr...
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03/18/2020
Few-Shot Graph Classification with Model Agnostic Meta-Learning
Graph classification aims to perform accurate information extraction and...
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03/09/2020
Matching Text with Deep Mutual Information Estimation
Text matching is a core natural language processing research problem. Ho...
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11/14/2019
Hierarchical Graph Pooling with Structure Learning
Graph Neural Networks (GNNs), which generalize deep neural networks to g...
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01/31/2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Given the intractability of large scale HIN, network embedding which lea...
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08/26/2017
Navigation Objects Extraction for Better Content Structure Understanding
Existing works for extracting navigation objects from webpages focus on ...
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08/26/2017
