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Machine Learning

[D] ICML final justification

Do we get notified if any reviewer put their final justification into their original review comment? submitted by /u/tuejan11 [link] [com...

Reddit - Machine Learning · 1 min ·
Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative | TechCrunch
Machine Learning

Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative | TechCrunch

The new model will be used by a small number of high-profile companies to engage in defensive cybersecurity work.

TechCrunch - AI · 5 min ·
Anthropic debuts ‘Project Glasswing’ and new AI model for cybersecurity | The Verge
Machine Learning

Anthropic debuts ‘Project Glasswing’ and new AI model for cybersecurity | The Verge

Anthropic launched Project Glasswing, a cybersecurity initiative in which it’s partnering with Nvidia, Apple, and others, and debuted a n...

The Verge - AI · 5 min ·

All Content

[2603.24481] Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA
Machine Learning

[2603.24481] Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA

Abstract page for arXiv paper 2603.24481: Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical...

arXiv - Machine Learning · 4 min ·
[2603.24436] Enes Causal Discovery
Machine Learning

[2603.24436] Enes Causal Discovery

Abstract page for arXiv paper 2603.24436: Enes Causal Discovery

arXiv - AI · 3 min ·
[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Llms

[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Abstract page for arXiv paper 2603.24472: Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

arXiv - Machine Learning · 3 min ·
[2603.24477] Composer 2 Technical Report
Machine Learning

[2603.24477] Composer 2 Technical Report

Abstract page for arXiv paper 2603.24477: Composer 2 Technical Report

arXiv - Machine Learning · 4 min ·
[2603.24400] Neural Network Models for Contextual Regression
Machine Learning

[2603.24400] Neural Network Models for Contextual Regression

Abstract page for arXiv paper 2603.24400: Neural Network Models for Contextual Regression

arXiv - Machine Learning · 3 min ·
[2603.24396] Exploring How Fair Model Representations Relate to Fair Recommendations
Machine Learning

[2603.24396] Exploring How Fair Model Representations Relate to Fair Recommendations

Abstract page for arXiv paper 2603.24396: Exploring How Fair Model Representations Relate to Fair Recommendations

arXiv - Machine Learning · 3 min ·
[2603.24392] Federated fairness-aware classification under differential privacy
Machine Learning

[2603.24392] Federated fairness-aware classification under differential privacy

Abstract page for arXiv paper 2603.24392: Federated fairness-aware classification under differential privacy

arXiv - Machine Learning · 3 min ·
[2603.24369] Adaptive decision-making for stochastic service network design
Machine Learning

[2603.24369] Adaptive decision-making for stochastic service network design

Abstract page for arXiv paper 2603.24369: Adaptive decision-making for stochastic service network design

arXiv - Machine Learning · 4 min ·
[2603.24323] Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
Machine Learning

[2603.24323] Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning

Abstract page for arXiv paper 2603.24323: Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machi...

arXiv - Machine Learning · 4 min ·
[2603.24304] CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
Machine Learning

[2603.24304] CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization

Abstract page for arXiv paper 2603.24304: CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization

arXiv - Machine Learning · 3 min ·
[2603.24239] DVM: Real-Time Kernel Generation for Dynamic AI Models
Machine Learning

[2603.24239] DVM: Real-Time Kernel Generation for Dynamic AI Models

Abstract page for arXiv paper 2603.24239: DVM: Real-Time Kernel Generation for Dynamic AI Models

arXiv - Machine Learning · 4 min ·
[2603.24226] UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking
Llms

[2603.24226] UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

Abstract page for arXiv paper 2603.24226: UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

arXiv - Machine Learning · 4 min ·
[2603.24209] HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
Machine Learning

[2603.24209] HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer

Abstract page for arXiv paper 2603.24209: HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directi...

arXiv - Machine Learning · 4 min ·
[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
Machine Learning

[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

Abstract page for arXiv paper 2603.24196: Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quan...

arXiv - Machine Learning · 4 min ·
[2603.24167] Walma: Learning to See Memory Corruption in WebAssembly
Machine Learning

[2603.24167] Walma: Learning to See Memory Corruption in WebAssembly

Abstract page for arXiv paper 2603.24167: Walma: Learning to See Memory Corruption in WebAssembly

arXiv - Machine Learning · 3 min ·
[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
Machine Learning

[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings

Abstract page for arXiv paper 2603.24150: A visual observation on the geometry of UMAP projections of the difference vectors of antonym a...

arXiv - Machine Learning · 3 min ·
[2603.24139] Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
Machine Learning

[2603.24139] Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

Abstract page for arXiv paper 2603.24139: Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

arXiv - Machine Learning · 4 min ·
[2603.24111] Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
Machine Learning

[2603.24111] Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

Abstract page for arXiv paper 2603.24111: Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

arXiv - Machine Learning · 4 min ·
[2603.24083] Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
Machine Learning

[2603.24083] Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

Abstract page for arXiv paper 2603.24083: Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2603.24016] COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Machine Learning

[2603.24016] COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

Abstract page for arXiv paper 2603.24016: COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergi...

arXiv - Machine Learning · 4 min ·
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