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Machine Learning

[D] How do ML engineers view vibe coding?

I've seen, read and heard a lot of mixed reactions about software engineers (ie. the ones who aren't building ML models and make purely d...

Reddit - Machine Learning · 1 min ·
Machine Learning

[P] I built a simple gpu-aware single-node job scheduler for researchers / students

(reposting in my main account because anonymous account cannot post here.) Hi everyone! I’m a research engineer from a small lab in Asia,...

Reddit - Machine Learning · 1 min ·
Llms

[For Hire] Junior AI/ML Engineer | RAG · LLMs · FastAPI · Vector DBs | Remote

Posting this for a friend who isn't on Reddit. A recent graduate, entry level, no commercial production experience but spent the past yea...

Reddit - ML Jobs · 1 min ·

All Content

[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Machine Learning

[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings

Abstract page for arXiv paper 2512.05245: STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology...

arXiv - Machine Learning · 4 min ·
[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Machine Learning

[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

Abstract page for arXiv paper 2511.14427: Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Machine Learning

[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

Abstract page for arXiv paper 2601.08881: TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

arXiv - AI · 4 min ·
[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits
Machine Learning

[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits

Abstract page for arXiv paper 2511.04454: Fitting Reinforcement Learning Model to Behavioral Data under Bandits

arXiv - Machine Learning · 4 min ·
[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
Llms

[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification

Abstract page for arXiv paper 2601.06394: Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing an...

arXiv - AI · 4 min ·
[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
Machine Learning

[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

Abstract page for arXiv paper 2511.01464: Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

arXiv - Machine Learning · 3 min ·
[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
Llms

[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

Abstract page for arXiv paper 2512.14698: TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

arXiv - AI · 4 min ·
[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
Llms

[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Abstract page for arXiv paper 2512.10411: SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Pro...

arXiv - AI · 4 min ·
[2510.12117] Locket: Robust Feature-Locking Technique for Language Models
Llms

[2510.12117] Locket: Robust Feature-Locking Technique for Language Models

Abstract page for arXiv paper 2510.12117: Locket: Robust Feature-Locking Technique for Language Models

arXiv - Machine Learning · 3 min ·
[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 ·
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