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09/20/2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding
Charts are common in literature across different scientific fields, conv...
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08/26/2023
Boosting Residual Networks with Group Knowledge
Recent research understands the residual networks from a new perspective...
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08/17/2023
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar
Thriving underwater applications demand efficient extreme compression te...
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08/11/2023
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Structural re-parameterization is a general training scheme for Convolut...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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02/23/2023
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification
Existing deep learning-based hyperspectral image (HSI) classification wo...
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02/20/2023
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment
Despite substantial progress in no-reference image quality assessment (N...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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10/13/2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
Federated learning (FL) has increasingly been deployed, in its vertical ...
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10/09/2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Residual networks have shown great success and become indispensable in t...
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09/19/2022
Neural-Symbolic Entangled Framework for Complex Query Answering
Answering complex queries over knowledge graphs (KG) is an important yet...
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09/13/2022
Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph
Rule mining is an effective approach for reasoning over knowledge graph ...
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08/10/2022
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, an...
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03/03/2022
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Neural Architecture Search (NAS) has attracted increasingly more attenti...
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01/30/2022
Neural Architecture Ranker
Architecture ranking has recently been advocated to design an efficient ...
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07/12/2021
In-Database Regression in Input Sparsity Time
Sketching is a powerful dimensionality reduction technique for accelerat...
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07/03/2021
Average-Case Communication Complexity of Statistical Problems
We study statistical problems, such as planted clique, its variants, and...
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10/30/2014
