Machine Learning

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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 ·
Machine Learning

Found a fun place to scroll AI generations

https://preview.redd.it/yc2btypnjzxg1.png?width=3834&format=png&auto=webp&s=67b3a151bb3cc29e3d88820f3ad52bb3a05f3930 Been thi...

Reddit - Artificial Intelligence · 1 min ·
Llms

What is the scientific value of administering the standard Rorschach test to LLMs when the training data is almost certainly contaminated? (R) + [D]

A recent paper published in JMIR Mental Health (Csigó & Cserey, 2026) caught my attention. The researchers administered the 10 standa...

Reddit - Machine Learning · 1 min ·

All Content

[2006.12024] Bayesian Neural Networks: An Introduction and Survey
Machine Learning

[2006.12024] Bayesian Neural Networks: An Introduction and Survey

Abstract page for arXiv paper 2006.12024: Bayesian Neural Networks: An Introduction and Survey

arXiv - Machine Learning · 3 min ·
[2603.29086] Realistic Market Impact Modeling for Reinforcement Learning Trading Environments
Machine Learning

[2603.29086] Realistic Market Impact Modeling for Reinforcement Learning Trading Environments

Abstract page for arXiv paper 2603.29086: Realistic Market Impact Modeling for Reinforcement Learning Trading Environments

arXiv - Machine Learning · 4 min ·
[2603.28942] ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference Attacks
Machine Learning

[2603.28942] ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference Attacks

Abstract page for arXiv paper 2603.28942: ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference At...

arXiv - Machine Learning · 4 min ·
[2603.13285] Brittlebench: Quantifying LLM robustness via prompt sensitivity
Llms

[2603.13285] Brittlebench: Quantifying LLM robustness via prompt sensitivity

Abstract page for arXiv paper 2603.13285: Brittlebench: Quantifying LLM robustness via prompt sensitivity

arXiv - AI · 4 min ·
[2603.11321] Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings
Machine Learning

[2603.11321] Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings

Abstract page for arXiv paper 2603.11321: Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings

arXiv - AI · 3 min ·
[2603.10742] A Grammar of Machine Learning Workflows
Machine Learning

[2603.10742] A Grammar of Machine Learning Workflows

Abstract page for arXiv paper 2603.10742: A Grammar of Machine Learning Workflows

arXiv - Machine Learning · 3 min ·
[2603.06977] NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
Machine Learning

[2603.06977] NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning

Abstract page for arXiv paper 2603.06977: NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning

arXiv - AI · 4 min ·
[2602.04448] RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
Llms

[2602.04448] RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models

Abstract page for arXiv paper 2602.04448: RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models

arXiv - AI · 3 min ·
[2602.01554] InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs
Llms

[2602.01554] InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs

Abstract page for arXiv paper 2602.01554: InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenizati...

arXiv - AI · 4 min ·
[2601.11609] Auxiliary-predicted Compress Memory Model(ApCM Model): A Neural Memory Storage Model Based on Invertible Compression and Learnable Prediction
Llms

[2601.11609] Auxiliary-predicted Compress Memory Model(ApCM Model): A Neural Memory Storage Model Based on Invertible Compression and Learnable Prediction

Abstract page for arXiv paper 2601.11609: Auxiliary-predicted Compress Memory Model(ApCM Model): A Neural Memory Storage Model Based on I...

arXiv - Machine Learning · 3 min ·
[2601.10940] HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training
Llms

[2601.10940] HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training

Abstract page for arXiv paper 2601.10940: HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training

arXiv - Machine Learning · 4 min ·
[2601.06597] Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective
Machine Learning

[2601.06597] Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective

Abstract page for arXiv paper 2601.06597: Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective

arXiv - Machine Learning · 4 min ·
[2601.03484] From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs
Llms

[2601.03484] From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs

Abstract page for arXiv paper 2601.03484: From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment o...

arXiv - Machine Learning · 4 min ·
[2601.01162] Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
Llms

[2601.01162] Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models

Abstract page for arXiv paper 2601.01162: Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models

arXiv - AI · 4 min ·
[2512.17051] SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
Machine Learning

[2512.17051] SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples

Abstract page for arXiv paper 2512.17051: SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples

arXiv - Machine Learning · 3 min ·
[2512.14471] Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics
Machine Learning

[2512.14471] Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics

Abstract page for arXiv paper 2512.14471: Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics

arXiv - Machine Learning · 4 min ·
[2512.14190] Random-Bridges as Stochastic Transports for Generative Models
Machine Learning

[2512.14190] Random-Bridges as Stochastic Transports for Generative Models

Abstract page for arXiv paper 2512.14190: Random-Bridges as Stochastic Transports for Generative Models

arXiv - Machine Learning · 3 min ·
[2511.20944] Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
Machine Learning

[2511.20944] Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection

Abstract page for arXiv paper 2511.20944: Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psych...

arXiv - Machine Learning · 4 min ·
[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 ·
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