Machine Learning

ML algorithms, training, and inference

This Week's Best | Monthly Best | Guide | Trending

Top This Week

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

[2508.10208] CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market
Machine Learning

[2508.10208] CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

Abstract page for arXiv paper 2508.10208: CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

arXiv - AI · 4 min ·
[2506.19591] Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications
Machine Learning

[2506.19591] Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

Abstract page for arXiv paper 2506.19591: Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

arXiv - AI · 3 min ·
[2506.17585] Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Llms

[2506.17585] Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Abstract page for arXiv paper 2506.17585: Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

arXiv - AI · 4 min ·
[2506.15461] All is Not Lost: LLM Recovery without Checkpoints
Llms

[2506.15461] All is Not Lost: LLM Recovery without Checkpoints

Abstract page for arXiv paper 2506.15461: All is Not Lost: LLM Recovery without Checkpoints

arXiv - Machine Learning · 4 min ·
[2506.07816] Accelerating Constrained Sampling: A Large Deviations Approach
Machine Learning

[2506.07816] Accelerating Constrained Sampling: A Large Deviations Approach

Abstract page for arXiv paper 2506.07816: Accelerating Constrained Sampling: A Large Deviations Approach

arXiv - Machine Learning · 4 min ·
[2506.01882] Learning thermodynamic master equations for open quantum systems
Machine Learning

[2506.01882] Learning thermodynamic master equations for open quantum systems

Abstract page for arXiv paper 2506.01882: Learning thermodynamic master equations for open quantum systems

arXiv - Machine Learning · 3 min ·
[2506.00077] Gaussian mixture models as a proxy for interacting language models
Llms

[2506.00077] Gaussian mixture models as a proxy for interacting language models

Abstract page for arXiv paper 2506.00077: Gaussian mixture models as a proxy for interacting language models

arXiv - Machine Learning · 4 min ·
[2505.18288] Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
Machine Learning

[2505.18288] Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization

Abstract page for arXiv paper 2505.18288: Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization

arXiv - Machine Learning · 3 min ·
[2505.17087] Informatics for Food Processing
Machine Learning

[2505.17087] Informatics for Food Processing

Abstract page for arXiv paper 2505.17087: Informatics for Food Processing

arXiv - AI · 3 min ·
[2505.08548] From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Llms

[2505.08548] From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Abstract page for arXiv paper 2505.08548: From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

arXiv - AI · 4 min ·
[2505.05375] Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Machine Learning

[2505.05375] Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

Abstract page for arXiv paper 2505.05375: Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

arXiv - AI · 4 min ·
[2503.08751] Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Machine Learning

[2503.08751] Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning

Abstract page for arXiv paper 2503.08751: Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for ...

arXiv - Machine Learning · 4 min ·
[2502.06096] Post-detection inference for sequential changepoint localization
Machine Learning

[2502.06096] Post-detection inference for sequential changepoint localization

Abstract page for arXiv paper 2502.06096: Post-detection inference for sequential changepoint localization

arXiv - AI · 3 min ·
[2412.07469] Score-matching-based Structure Learning for Temporal Data on Networks
Machine Learning

[2412.07469] Score-matching-based Structure Learning for Temporal Data on Networks

Abstract page for arXiv paper 2412.07469: Score-matching-based Structure Learning for Temporal Data on Networks

arXiv - Machine Learning · 4 min ·
[2412.11308] From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
Machine Learning

[2412.11308] From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection

Abstract page for arXiv paper 2412.11308: From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection

arXiv - Machine Learning · 4 min ·
[2411.02225] Sparse Max-Affine Regression
Machine Learning

[2411.02225] Sparse Max-Affine Regression

Abstract page for arXiv paper 2411.02225: Sparse Max-Affine Regression

arXiv - Machine Learning · 4 min ·
[2410.14826] SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Llms

[2410.14826] SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Abstract page for arXiv paper 2410.14826: SPRIG: Improving Large Language Model Performance by System Prompt Optimization

arXiv - AI · 4 min ·
[2403.12072] Floralens: a Deep Learning Model for the Portuguese Native Flora
Machine Learning

[2403.12072] Floralens: a Deep Learning Model for the Portuguese Native Flora

Abstract page for arXiv paper 2403.12072: Floralens: a Deep Learning Model for the Portuguese Native Flora

arXiv - Machine Learning · 4 min ·
[2302.08724] Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Machine Learning

[2302.08724] Piecewise Deterministic Markov Processes for Bayesian Neural Networks

Abstract page for arXiv paper 2302.08724: Piecewise Deterministic Markov Processes for Bayesian Neural Networks

arXiv - Machine Learning · 3 min ·
[2302.00797] Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Machine Learning

[2302.00797] Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

Abstract page for arXiv paper 2302.00797: Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinfo...

arXiv - AI · 4 min ·
Previous Page 266 Next

Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime