🔬 ML Research - inarcissuss

Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction

🤖AI/ML arXiv·

Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

🤖AI/ML arXiv·

From Heuristics to Transformers: A Comprehensive Survey of Type Inference from Stripped Binaries

🤖Machine Learning arXiv·

Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

🤖AI arXiv·

Frequency Domain Reservoir Computing

🔬Deep Learning arXiv·

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

🤖AI/ML arXiv·

A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients

🤖AI/ML arXiv·

Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

🤖人工智能 arXiv·

Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation

🤖AI/ML arXiv·

What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility

🤖AI/ML arXiv·

Universal Encoders for Modular Relational Deep Learning

🔬Deep Learning arXiv·

Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks

🤖人工智能 arXiv·

SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks

🤖人工智能 arXiv·

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

🤖AI/ML arXiv·

Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI

🤖人工智能 arXiv·

Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning

🔬AI Research arXiv·

Dynamic estimation of slowly varying sequences

🤖AI/ML arXiv·

Learning Non-Vacuous Generalization Bounds from Optimization

DREG: A Layer-Wise Jacobian Regularization as a General-Purpose Penalty

Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction

Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

From Heuristics to Transformers: A Comprehensive Survey of Type Inference from Stripped Binaries

Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

Frequency Domain Reservoir Computing

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients

Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation

What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility

Universal Encoders for Modular Relational Deep Learning

Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks

SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI

Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning

Dynamic estimation of slowly varying sequences

Deep Learning-Based Sign Language Recognition from Videos and Cross-Lingual Translation to Indian Vernaculars