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08/10/2023
The Fast and the Private: Task-based Dataset Search
Modern dataset search platforms employ ML task-based utility metrics ins...
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07/31/2023
Lightweight Super-Resolution Head for Human Pose Estimation
Heatmap-based methods have become the mainstream method for pose estimat...
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07/22/2023
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
The volume-wise labeling of 3D medical images is expertise-demanded and ...
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07/17/2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
In generative modeling, numerous successful approaches leverage a low-di...
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06/28/2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Long-tailed recognition with imbalanced class distribution naturally eme...
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06/24/2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective
Graph neural networks (GNNs) have pioneered advancements in graph repres...
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06/08/2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Ranking model plays an essential role in e-commerce search and recommend...
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05/25/2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
Medical image data are often limited due to the expensive acquisition an...
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05/09/2023
Boosting Visual-Language Models by Exploiting Hard Samples
Large vision and language models, such as Contrastive Language-Image Pre...
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05/06/2023
Functional diffusion driven stochastic volatility model
We propose a stochastic volatility model for time series of curves. It i...
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03/01/2023
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Effectively extracting inter-frame motion and appearance information is ...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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11/20/2022
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
Existing graph contrastive learning (GCL) typically requires two forward...
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10/28/2022
BEBERT: Efficient and robust binary ensemble BERT
Pre-trained BERT models have achieved impressive accuracy on natural lan...
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06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
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05/25/2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Programmatic Weak Supervision (PWS) aggregates the source votes of multi...
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04/11/2022
Augmentation-Free Graph Contrastive Learning
Graph contrastive learning (GCL) is the most representative and prevalen...
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03/12/2022
Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design
In this paper, we focus on the pattern reconfigurable multiple-input mul...
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02/12/2022
Capacity Maximization Pattern Design for Reconfigurable MIMO Antenna Array
Multi-functional and reconfigurable multiple-input multiple-output (MR-M...
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01/15/2022
Training Fair Deep Neural Networks by Balancing Influence
Most fair machine learning methods either highly rely on the sensitive i...
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10/28/2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
With the prevalence of deep learning based embedding approaches, recomme...
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10/16/2021
Deep Active Learning by Leveraging Training Dynamics
Active learning theories and methods have been extensively studied in cl...
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09/09/2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Most recent semantic segmentation methods adopt a U-Net framework with a...
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05/31/2021
Controllable Gradient Item Retrieval
In this paper, we identify and study an important problem of gradient it...
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09/11/2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Graph neural networks (GNNs) have been shown with superior performance i...
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05/01/2020
Secure Network Release with Link Privacy
Many data mining and analytical tasks rely on the abstraction of network...
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05/31/2019
