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09/16/2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Federated Learning (FL) has emerged as a promising approach to enable co...
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07/28/2023
Prompt Guided Transformer for Multi-Task Dense Prediction
Task-conditional architecture offers advantage in parameter efficiency b...
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04/21/2023
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
Detection of human body and its parts (e.g., head or hands) has been int...
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11/19/2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
The message-passing scheme is the core of graph representation learning....
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11/01/2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Data-efficient learning on graphs (GEL) is essential in real-world appli...
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10/28/2022
Completely Heterogeneous Federated Learning
Federated learning (FL) faces three major difficulties: cross-domain, he...
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10/13/2022
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
The normalizing layer has become one of the basic configurations of deep...
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08/11/2022
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
The cold-start problem is a long-standing challenge in recommender syste...
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03/24/2022
GraphCoCo: Graph Complementary Contrastive Learning
Graph Contrastive Learning (GCL) has shown promising performance in grap...
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11/21/2021
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
Single image super-resolution(SISR) is an ill-posed problem that aims to...
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09/28/2021
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
In collaborative filtering, it is an important way to make full use of s...
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09/27/2021
On Isotropy Calibration of Transformers
Different studies of the embedding space of transformer models suggest t...
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09/27/2021
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation
Item recommendation based on historical user-item interactions is of vit...
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09/26/2021
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction
In this paper, we propose a novel model named DemiNet (short for DEpende...
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03/19/2021
