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Machine Learning

How well do you understand how AI/deep learning works?

Specifically, how AI are programmed, trained, and how they perform their functions. I’ll be asking this in different subs to see if/how t...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

a fun survey to look at how consumers perceive the use of AI in fashion brand marketing. (all ages, all genders)

Hi r/artificial ! I'm posting on behalf of a friend who is conducting academic research for their dissertation. The survey looks at how c...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

I Built a Functional Cognitive Engine

Aura: https://github.com/youngbryan97/aura Aura is not a chatbot with personality prompts. It is a complete cognitive architecture — 60+ ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2601.09166] DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
Machine Learning

[2601.09166] DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix

Abstract page for arXiv paper 2601.09166: DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher ...

arXiv - Machine Learning · 4 min ·
[2603.23501] MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage
Llms

[2603.23501] MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

Abstract page for arXiv paper 2603.23501: MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

arXiv - AI · 4 min ·
[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)
Machine Learning

[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)

Abstract page for arXiv paper 2512.06737: Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Awa...

arXiv - AI · 4 min ·
[2512.04165] Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity
Machine Learning

[2512.04165] Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

Abstract page for arXiv paper 2512.04165: Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

arXiv - Machine Learning · 4 min ·
[2603.23485] Failure of contextual invariance in gender inference with large language models
Llms

[2603.23485] Failure of contextual invariance in gender inference with large language models

Abstract page for arXiv paper 2603.23485: Failure of contextual invariance in gender inference with large language models

arXiv - AI · 3 min ·
[2511.20592] Latent Diffusion Inversion Requires Understanding the Latent Space
Machine Learning

[2511.20592] Latent Diffusion Inversion Requires Understanding the Latent Space

Abstract page for arXiv paper 2511.20592: Latent Diffusion Inversion Requires Understanding the Latent Space

arXiv - Machine Learning · 4 min ·
[2603.23482] ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains
Llms

[2603.23482] ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

Abstract page for arXiv paper 2603.23482: ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

arXiv - AI · 4 min ·
[2511.16105] Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Machine Learning

[2511.16105] Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning

Abstract page for arXiv paper 2511.16105: Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning

arXiv - Machine Learning · 4 min ·
[2510.16051] GUIrilla: A Scalable Framework for Automated Desktop UI Exploration
Llms

[2510.16051] GUIrilla: A Scalable Framework for Automated Desktop UI Exploration

Abstract page for arXiv paper 2510.16051: GUIrilla: A Scalable Framework for Automated Desktop UI Exploration

arXiv - AI · 4 min ·
[2603.23463] InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
Machine Learning

[2603.23463] InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting

Abstract page for arXiv paper 2603.23463: InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting

arXiv - AI · 3 min ·
[2603.23447] 3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding
Llms

[2603.23447] 3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding

Abstract page for arXiv paper 2603.23447: 3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Un...

arXiv - AI · 4 min ·
[2510.12996] CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing
Machine Learning

[2510.12996] CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing

Abstract page for arXiv paper 2510.12996: CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Ge...

arXiv - Machine Learning · 4 min ·
[2603.23443] Evaluating LLM-Based Test Generation Under Software Evolution
Llms

[2603.23443] Evaluating LLM-Based Test Generation Under Software Evolution

Abstract page for arXiv paper 2603.23443: Evaluating LLM-Based Test Generation Under Software Evolution

arXiv - AI · 4 min ·
[2510.08369] Guided Star-Shaped Masked Diffusion
Machine Learning

[2510.08369] Guided Star-Shaped Masked Diffusion

Abstract page for arXiv paper 2510.08369: Guided Star-Shaped Masked Diffusion

arXiv - Machine Learning · 3 min ·
[2603.23438] Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
Machine Learning

[2603.23438] Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks

Abstract page for arXiv paper 2603.23438: Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Syste...

arXiv - AI · 4 min ·
[2510.08294] Counterfactual Identifiability via Dynamic Optimal Transport
Machine Learning

[2510.08294] Counterfactual Identifiability via Dynamic Optimal Transport

Abstract page for arXiv paper 2510.08294: Counterfactual Identifiability via Dynamic Optimal Transport

arXiv - AI · 3 min ·
[2510.03165] FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
Machine Learning

[2510.03165] FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence

Abstract page for arXiv paper 2510.03165: FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence

arXiv - Machine Learning · 3 min ·
[2509.20311] Graph Variate Neural Networks
Machine Learning

[2509.20311] Graph Variate Neural Networks

Abstract page for arXiv paper 2509.20311: Graph Variate Neural Networks

arXiv - Machine Learning · 3 min ·
[2509.03242] TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
Machine Learning

[2509.03242] TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space

Abstract page for arXiv paper 2509.03242: TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input ...

arXiv - Machine Learning · 4 min ·
[2508.16915] Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection
Machine Learning

[2508.16915] Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection

Abstract page for arXiv paper 2508.16915: Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiki...

arXiv - Machine Learning · 4 min ·
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