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Artificial intelligence for robots with human-inspired hands advances and expands machine learning capabilities in the new generation of robotics.
Machine Learning

Artificial intelligence for robots with human-inspired hands advances and expands machine learning capabilities in the new generation of robotics.

AI News - General · 10 min ·
Machine Learning

Academy and ASN Joint Task Force Publishes Artificial Intelligence and Machine Learning Resource Guide

AI News - General ·
Zambian Student Builds Machine Learning System to Help African Farmers Adapt to Climate Change
Machine Learning

Zambian Student Builds Machine Learning System to Help African Farmers Adapt to Climate Change

AI News - General · 6 min ·

All Content

[2508.21618] Physics-Informed Spectral Modeling for Hyperspectral Imaging
Machine Learning

[2508.21618] Physics-Informed Spectral Modeling for Hyperspectral Imaging

Abstract page for arXiv paper 2508.21618: Physics-Informed Spectral Modeling for Hyperspectral Imaging

arXiv - AI · 3 min ·
[2508.13657] In-Context Decision Making for Optimizing Complex AutoML Pipelines
Machine Learning

[2508.13657] In-Context Decision Making for Optimizing Complex AutoML Pipelines

Abstract page for arXiv paper 2508.13657: In-Context Decision Making for Optimizing Complex AutoML Pipelines

arXiv - AI · 4 min ·
[2508.07299] Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
Machine Learning

[2508.07299] Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning

Abstract page for arXiv paper 2508.07299: Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-...

arXiv - AI · 4 min ·
[2508.05423] Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
Machine Learning

[2508.05423] Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling

Abstract page for arXiv paper 2508.05423: Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling

arXiv - Machine Learning · 3 min ·
[2411.02622] Pseudo-Probability Unlearning: Efficient and Privacy-Preserving Machine Unlearning
Machine Learning

[2411.02622] Pseudo-Probability Unlearning: Efficient and Privacy-Preserving Machine Unlearning

Abstract page for arXiv paper 2411.02622: Pseudo-Probability Unlearning: Efficient and Privacy-Preserving Machine Unlearning

arXiv - AI · 3 min ·
[2503.02129] Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon
Machine Learning

[2503.02129] Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon

Abstract page for arXiv paper 2503.02129: Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multil...

arXiv - AI · 4 min ·
[2410.17473] DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning
Machine Learning

[2410.17473] DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning

Abstract page for arXiv paper 2410.17473: DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2409.01633] SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification
Machine Learning

[2409.01633] SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification

Abstract page for arXiv paper 2409.01633: SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Cla...

arXiv - AI · 3 min ·
[2405.16240] AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
Machine Learning

[2405.16240] AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models

Abstract page for arXiv paper 2405.16240: AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models

arXiv - Machine Learning · 4 min ·
[2405.11619] Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
Machine Learning

[2405.11619] Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection

Abstract page for arXiv paper 2405.11619: Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection

arXiv - AI · 3 min ·
[2307.03571] Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization
Machine Learning

[2307.03571] Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization

Abstract page for arXiv paper 2307.03571: Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametri...

arXiv - Machine Learning · 4 min ·
[2306.02781] An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
Llms

[2306.02781] An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Abstract page for arXiv paper 2306.02781: An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures...

arXiv - AI · 4 min ·
[2604.07350] Fast Spatial Memory with Elastic Test-Time Training
Machine Learning

[2604.07350] Fast Spatial Memory with Elastic Test-Time Training

Abstract page for arXiv paper 2604.07350: Fast Spatial Memory with Elastic Test-Time Training

arXiv - Machine Learning · 4 min ·
[2604.07343] Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
Llms

[2604.07343] Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization

Abstract page for arXiv paper 2604.07343: Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization

arXiv - Machine Learning · 4 min ·
[2604.07323] Gaussian Approximation for Asynchronous Q-learning
Machine Learning

[2604.07323] Gaussian Approximation for Asynchronous Q-learning

Abstract page for arXiv paper 2604.07323: Gaussian Approximation for Asynchronous Q-learning

arXiv - Machine Learning · 3 min ·
[2604.07286] CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency
Machine Learning

[2604.07286] CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency

Abstract page for arXiv paper 2604.07286: CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency

arXiv - AI · 3 min ·
[2604.07282] Are Face Embeddings Compatible Across Deep Neural Network Models?
Llms

[2604.07282] Are Face Embeddings Compatible Across Deep Neural Network Models?

Abstract page for arXiv paper 2604.07282: Are Face Embeddings Compatible Across Deep Neural Network Models?

arXiv - Machine Learning · 3 min ·
[2604.07276] Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS
Machine Learning

[2604.07276] Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS

Abstract page for arXiv paper 2604.07276: Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS

arXiv - AI · 4 min ·
[2604.07274] A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
Llms

[2604.07274] A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering

Abstract page for arXiv paper 2604.07274: A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering

arXiv - AI · 4 min ·
[2604.07267] The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours
Machine Learning

[2604.07267] The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours

Abstract page for arXiv paper 2604.07267: The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours

arXiv - Machine Learning · 4 min ·
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