Machine Learning

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Yupp shuts down after raising $33M from a16z crypto's Chris Dixon | TechCrunch
Machine Learning

Yupp shuts down after raising $33M from a16z crypto's Chris Dixon | TechCrunch

Less than a year after launching, with checks from some of the biggest names in Silicon Valley, crowdsourced AI model feedback startup Yu...

TechCrunch - AI · 4 min ·
Machine Learning

[R] Fine-tuning services report

If you have some data and want to train or run a small custom model but don't have powerful enough hardware for training, fine-tuning ser...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] Does ML have a "bible"/reference textbook at the Intermediate/Advanced level?

Hello, everyone! This is my first time posting here and I apologise if the question is, perhaps, a bit too basic for this sub-reddit. A b...

Reddit - Machine Learning · 1 min ·

All Content

[2509.21385] Debugging Concept Bottleneck Models through Removal and Retraining
Machine Learning

[2509.21385] Debugging Concept Bottleneck Models through Removal and Retraining

Abstract page for arXiv paper 2509.21385: Debugging Concept Bottleneck Models through Removal and Retraining

arXiv - Machine Learning · 4 min ·
[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge
Llms

[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge

Abstract page for arXiv paper 2511.20721: Foundry: Distilling 3D Foundation Models for the Edge

arXiv - Machine Learning · 4 min ·
[2511.03255] Generative deep learning for foundational video translation in ultrasound
Machine Learning

[2511.03255] Generative deep learning for foundational video translation in ultrasound

Abstract page for arXiv paper 2511.03255: Generative deep learning for foundational video translation in ultrasound

arXiv - AI · 4 min ·
[2510.24821] Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Machine Learning

[2510.24821] Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Abstract page for arXiv paper 2510.24821: Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

arXiv - AI · 4 min ·
[2507.16058] Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
Machine Learning

[2507.16058] Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

Abstract page for arXiv paper 2507.16058: Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

arXiv - Machine Learning · 4 min ·
[2507.03689] A Resource Efficient Quantum Kernel
Machine Learning

[2507.03689] A Resource Efficient Quantum Kernel

Abstract page for arXiv paper 2507.03689: A Resource Efficient Quantum Kernel

arXiv - Machine Learning · 4 min ·
[2510.14989] Constrained Diffusion for Protein Design with Hard Structural Constraints
Machine Learning

[2510.14989] Constrained Diffusion for Protein Design with Hard Structural Constraints

Abstract page for arXiv paper 2510.14989: Constrained Diffusion for Protein Design with Hard Structural Constraints

arXiv - Machine Learning · 3 min ·
[2506.22504] Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
Machine Learning

[2506.22504] Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection

Abstract page for arXiv paper 2506.22504: Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection

arXiv - Machine Learning · 4 min ·
[2509.24296] DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
Llms

[2509.24296] DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

Abstract page for arXiv paper 2509.24296: DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

arXiv - AI · 4 min ·
[2509.01388] End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System
Machine Learning

[2509.01388] End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System

Abstract page for arXiv paper 2509.01388: End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System

arXiv - AI · 4 min ·
[2508.21435] MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
Machine Learning

[2508.21435] MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

Abstract page for arXiv paper 2508.21435: MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

arXiv - AI · 4 min ·
[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
Machine Learning

[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

Abstract page for arXiv paper 2505.21545: Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

arXiv - Machine Learning · 4 min ·
[2505.19046] When Models Don't Collapse: On the Consistency of Iterative MLE
Machine Learning

[2505.19046] When Models Don't Collapse: On the Consistency of Iterative MLE

Abstract page for arXiv paper 2505.19046: When Models Don't Collapse: On the Consistency of Iterative MLE

arXiv - Machine Learning · 4 min ·
[2508.19897] The Information Dynamics of Generative Diffusion
Machine Learning

[2508.19897] The Information Dynamics of Generative Diffusion

Abstract page for arXiv paper 2508.19897: The Information Dynamics of Generative Diffusion

arXiv - Machine Learning · 4 min ·
[2508.15090] Mapping the Course for Prompt-based Structured Prediction
Llms

[2508.15090] Mapping the Course for Prompt-based Structured Prediction

Abstract page for arXiv paper 2508.15090: Mapping the Course for Prompt-based Structured Prediction

arXiv - AI · 3 min ·
[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
Machine Learning

[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

Abstract page for arXiv paper 2508.00307: Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

arXiv - AI · 4 min ·
[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects
Machine Learning

[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects

Abstract page for arXiv paper 2411.12135: Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compress...

arXiv - Machine Learning · 3 min ·
[2507.20423] CodeNER: Code Prompting for Named Entity Recognition
Llms

[2507.20423] CodeNER: Code Prompting for Named Entity Recognition

Abstract page for arXiv paper 2507.20423: CodeNER: Code Prompting for Named Entity Recognition

arXiv - AI · 4 min ·
[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
Machine Learning

[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation

Abstract page for arXiv paper 2410.13874: Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for D...

arXiv - Machine Learning · 4 min ·
[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model
Machine Learning

[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

Abstract page for arXiv paper 2507.14237: U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

arXiv - AI · 3 min ·
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