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Machine Learning

PyTorch reproduction of TensorFlow paper underperforms by 4 pp on DermaMNIST , what cross-framework issues should I check? [R]

I'm reproducing a published paper's hybrid Gabor + CNN architecture in PyTorch. The original implementation is in TensorFlow. My reproduc...

Reddit - Machine Learning · 1 min ·
Machine Learning

eTPS Site Plan – Simple Leaderboard + What You’ll Actually See

Building on the last post, here’s what the first version of effectiveTPS will look like. **Core display (v1):** - Clean table comparing p...

Reddit - Artificial Intelligence · 1 min ·
Llms

Diffusion for generating/editing ASTs? [D]

I’m not a machine learning expert or anything, but I do enjoy learning about how it all works. I’ve noticed that one of the main limitati...

Reddit - Machine Learning · 1 min ·

All Content

[2604.06327] A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech
Machine Learning

[2604.06327] A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech

Abstract page for arXiv paper 2604.06327: A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech

arXiv - AI · 3 min ·
[2604.06285] Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
Llms

[2604.06285] Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

Abstract page for arXiv paper 2604.06285: Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

arXiv - AI · 4 min ·
[2604.06284] ClawLess: A Security Model of AI Agents
Llms

[2604.06284] ClawLess: A Security Model of AI Agents

Abstract page for arXiv paper 2604.06284: ClawLess: A Security Model of AI Agents

arXiv - AI · 3 min ·
[2604.06280] DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI
Llms

[2604.06280] DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI

Abstract page for arXiv paper 2604.06280: DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI

arXiv - AI · 4 min ·
[2604.06254] SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
Machine Learning

[2604.06254] SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments

Abstract page for arXiv paper 2604.06254: SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments

arXiv - AI · 4 min ·
[2604.06269] MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
Llms

[2604.06269] MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation

Abstract page for arXiv paper 2604.06269: MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation

arXiv - AI · 3 min ·
[2604.06264] ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
Llms

[2604.06264] ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway

Abstract page for arXiv paper 2604.06264: ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway

arXiv - AI · 3 min ·
[2604.06266] Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
Llms

[2604.06266] Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

Abstract page for arXiv paper 2604.06266: Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

arXiv - AI · 3 min ·
[2604.06262] From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
Machine Learning

[2604.06262] From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning

Abstract page for arXiv paper 2604.06262: From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning

arXiv - AI · 4 min ·
[2604.06255] Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
Machine Learning

[2604.06255] Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks

Abstract page for arXiv paper 2604.06255: Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks

arXiv - AI · 4 min ·
[2604.06250] DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs
Llms

[2604.06250] DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs

Abstract page for arXiv paper 2604.06250: DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs

arXiv - AI · 4 min ·
[2604.06247] SALLIE: Safeguarding Against Latent Language & Image Exploits
Llms

[2604.06247] SALLIE: Safeguarding Against Latent Language & Image Exploits

Abstract page for arXiv paper 2604.06247: SALLIE: Safeguarding Against Latent Language & Image Exploits

arXiv - AI · 4 min ·
[2604.06240] The Art of Building Verifiers for Computer Use Agents
Machine Learning

[2604.06240] The Art of Building Verifiers for Computer Use Agents

Abstract page for arXiv paper 2604.06240: The Art of Building Verifiers for Computer Use Agents

arXiv - AI · 4 min ·
[2604.06220] Development of ML model for triboelectric nanogenerator based sign language detection system
Machine Learning

[2604.06220] Development of ML model for triboelectric nanogenerator based sign language detection system

Abstract page for arXiv paper 2604.06220: Development of ML model for triboelectric nanogenerator based sign language detection system

arXiv - AI · 4 min ·
[2604.06219] From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises
Machine Learning

[2604.06219] From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises

Abstract page for arXiv paper 2604.06219: From experimentation to engagement: on the paradox of participatory AI and power in contexts of...

arXiv - AI · 4 min ·
[2604.06217] The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrastructure
Llms

[2604.06217] The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrastructure

Abstract page for arXiv paper 2604.06217: The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrast...

arXiv - AI · 4 min ·
[2604.06215] Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030
Machine Learning

[2604.06215] Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030

Abstract page for arXiv paper 2604.06215: Governing frontier general-purpose AI in the public sector: adaptive risk management and policy...

arXiv - AI · 4 min ·
[2604.06214] Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical Transcriptions
Llms

[2604.06214] Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical Transcriptions

Abstract page for arXiv paper 2604.06214: Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical ...

arXiv - AI · 4 min ·
[2604.06212] Code Sharing In Prediction Model Research: A Scoping Review
Machine Learning

[2604.06212] Code Sharing In Prediction Model Research: A Scoping Review

Abstract page for arXiv paper 2604.06212: Code Sharing In Prediction Model Research: A Scoping Review

arXiv - AI · 4 min ·
[2604.06213] Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models
Llms

[2604.06213] Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models

Abstract page for arXiv paper 2604.06213: Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering ...

arXiv - AI · 4 min ·
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