Machine Learning

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Machine Learning

[P] ML project (XGBoost + Databricks + MLflow) — how to talk about “production issues” in interviews?

Hey all, I recently built an end-to-end fraud detection project using a large banking dataset: Trained an XGBoost model Used Databricks f...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] The memory chip market lost tens of billions over a paper this community would have understood in 10 minutes

TurboQuant was teased recently and tens of billions gone from memory chip market in 48 hours but anyone in this community who read the pa...

Reddit - Machine Learning · 1 min ·
Copilot is ‘for entertainment purposes only,’ according to Microsoft’s terms of use | TechCrunch
Machine Learning

Copilot is ‘for entertainment purposes only,’ according to Microsoft’s terms of use | TechCrunch

AI skeptics aren’t the only ones warning users not to unthinkingly trust models’ outputs — that’s what the AI companies say themselves in...

TechCrunch - AI · 3 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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