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Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss
Graph convolutional networks (GCNs) and their variants have achieved gre...
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Fairness and Accuracy in Federated Learning
In the federated learning setting, multiple clients jointly train a mode...
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Implicit bias of deep linear networks in the large learning rate phase
Correctly choosing a learning rate (scheme) for gradient-based optimizat...
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Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics
This paper presents a formal verification guided approach for a principl...
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Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers
This paper studies the embedding and synthesis of knowledge in tree ense...
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Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
Deep encoder-decoder based CNNs have advanced image inpainting methods f...
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Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface
This paper investigates the achievable rate region of the multiple-input...
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On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
In recent years, a critical initialization scheme with orthogonal initia...
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Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
Context-aware recommender systems (CARS) have gained increasing attentio...
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Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
In recent years, the mean field theory has been applied to the study of ...
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One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
Recent deep learning based image inpainting methods which utilize contex...
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Test Metrics for Recurrent Neural Networks
Recurrent neural networks (RNNs) have been applied to a broad range of a...
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SoK: Hardware Security Support for Trustworthy Execution
In recent years, there have emerged many new hardware mechanisms for imp...
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testRNN: Coverage-guided Testing on Recurrent Neural Networks
Recurrent neural networks (RNNs) have been widely applied to various seq...
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Attributes-aided Part Detection and Refinement for Person Re-identification
Person attributes are often exploited as mid-level human semantic inform...
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Implications of Integrated CPU-GPU Processors on Thermal and Power Management Techniques
Heterogeneous processors with architecturally different cores (CPU and G...
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Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization
Multiobjective optimization evolutionary algorithms have been successful...
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QoE-Oriented Resource Allocation for 360-degree Video Transmission over Heterogeneous Networks
Immersive media streaming, especially virtual reality (VR)/360-degree vi...
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