🧠 Deep Learning - jyunzhang

🔥PyTorch Academic

arxiv.org·

What Makes a Desired Graph for Relational Deep Learning?

🤖Machine Learning Academic

arxiv.org·

Flatland: The Adventures of Gradient Descent with Large Step Sizes

📈Optimization Academic

arxiv.org·

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning

🤖Machine Learning Academic

arxiv.org·

Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits

🤖Machine Learning Academic

arxiv.org·

Second-Order Path Kernel Interpolation Formulas in Machine Learning

📈Optimization Academic

arxiv.org·

Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging

🤖Machine Learning Academic

arxiv.org·

Large-Scale Regularized Matching on GPU Clusters

📈Optimization Academic

arxiv.org·

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States

🤖Machine Learning Academic

arxiv.org·

BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection

🎮Reinforcement Learning Academic

arxiv.org·

Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators

🤖Machine Learning Academic

arxiv.org·

Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018

🤖Machine Learning Academic

arxiv.org·

Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation

🤖Machine Learning Academic

arxiv.org·

Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks

🤖Machine Learning Academic

arxiv.org·

Enhancing AI Interpretability and Safety through Localised Architectures

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism

Towards Engineering Material Neural Networks

What Makes a Desired Graph for Relational Deep Learning?

Flatland: The Adventures of Gradient Descent with Large Step Sizes

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning

Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits

Second-Order Path Kernel Interpolation Formulas in Machine Learning

Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging

Large-Scale Regularized Matching on GPU Clusters

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States

BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection

Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators

Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018

Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation

Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks