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Machine Learning

Do you "cross-examine" AI models to find the best tool for a specific task?

Do you ask one AI model to recommend which AI model is actually the best for specific tasks and do you find that certain AI models are mo...

Reddit - Artificial Intelligence · 1 min ·
OpenAI Really Wants Codex to Shut Up About Goblins | WIRED
Machine Learning

OpenAI Really Wants Codex to Shut Up About Goblins | WIRED

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambigu...

Wired - AI · 5 min ·
Machine Learning

I built an AI that identifies individual ingredients from a photo to estimate calories instantly. No more manual searching.

Hi everyone, I’ve always struggled with the 'friction' of calorie tracking. Most apps require you to search for every single ingredient, ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2512.09378] Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
Machine Learning

[2512.09378] Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy

Abstract page for arXiv paper 2512.09378: Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy

arXiv - Machine Learning · 3 min ·
[2511.17378] A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
Machine Learning

[2511.17378] A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias

Abstract page for arXiv paper 2511.17378: A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity ...

arXiv - Machine Learning · 3 min ·
[2511.09216] Controllable protein design with particle-based Feynman-Kac steering
Machine Learning

[2511.09216] Controllable protein design with particle-based Feynman-Kac steering

Abstract page for arXiv paper 2511.09216: Controllable protein design with particle-based Feynman-Kac steering

arXiv - Machine Learning · 3 min ·
[2511.08887] FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
Machine Learning

[2511.08887] FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis

Abstract page for arXiv paper 2511.08887: FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis

arXiv - AI · 4 min ·
[2510.26433] Co-Evolving Latent Action World Models
Machine Learning

[2510.26433] Co-Evolving Latent Action World Models

Abstract page for arXiv paper 2510.26433: Co-Evolving Latent Action World Models

arXiv - Machine Learning · 4 min ·
[2510.23448] An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
Machine Learning

[2510.23448] An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning

Abstract page for arXiv paper 2510.23448: An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2510.22068] Deep Gaussian Processes for Functional Maps
Machine Learning

[2510.22068] Deep Gaussian Processes for Functional Maps

Abstract page for arXiv paper 2510.22068: Deep Gaussian Processes for Functional Maps

arXiv - Machine Learning · 3 min ·
[2510.18814] A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
Llms

[2510.18814] A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

Abstract page for arXiv paper 2510.18814: A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

arXiv - AI · 4 min ·
[2510.07985] Fewer Weights, More Problems: A Practical Attack on LLM Pruning
Llms

[2510.07985] Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Abstract page for arXiv paper 2510.07985: Fewer Weights, More Problems: A Practical Attack on LLM Pruning

arXiv - AI · 4 min ·
[2509.26433] ACT: Agentic Classification Tree
Llms

[2509.26433] ACT: Agentic Classification Tree

Abstract page for arXiv paper 2509.26433: ACT: Agentic Classification Tree

arXiv - AI · 3 min ·
[2509.20349] Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing
Machine Learning

[2509.20349] Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing

Abstract page for arXiv paper 2509.20349: Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing

arXiv - Machine Learning · 3 min ·
[2509.12981] Causal Discovery via Quantile Partial Effect
Machine Learning

[2509.12981] Causal Discovery via Quantile Partial Effect

Abstract page for arXiv paper 2509.12981: Causal Discovery via Quantile Partial Effect

arXiv - Machine Learning · 4 min ·
[2509.09926] LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Llms

[2509.09926] LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

Abstract page for arXiv paper 2509.09926: LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Sc...

arXiv - Machine Learning · 4 min ·
[2509.03758] A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
Machine Learning

[2509.03758] A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations

Abstract page for arXiv paper 2509.03758: A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tess...

arXiv - Machine Learning · 4 min ·
[2509.02892] Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
Machine Learning

[2509.02892] Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

Abstract page for arXiv paper 2509.02892: Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

arXiv - Machine Learning · 4 min ·
[2509.00203] Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Machine Learning

[2509.00203] Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

Abstract page for arXiv paper 2509.00203: Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

arXiv - Machine Learning · 4 min ·
[2508.10053] xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
Machine Learning

[2508.10053] xRFM: Accurate, scalable, and interpretable feature learning models for tabular data

Abstract page for arXiv paper 2508.10053: xRFM: Accurate, scalable, and interpretable feature learning models for tabular data

arXiv - Machine Learning · 4 min ·
[2508.08935] LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
Machine Learning

[2508.08935] LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks

Abstract page for arXiv paper 2508.08935: LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks

arXiv - Machine Learning · 3 min ·
[2508.04503] PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers
Machine Learning

[2508.04503] PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers

Abstract page for arXiv paper 2508.04503: PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution C...

arXiv - AI · 4 min ·
[2508.02812] Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
Machine Learning

[2508.02812] Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms

Abstract page for arXiv paper 2508.02812: Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms

arXiv - Machine Learning · 3 min ·
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