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Machine Learning

[D] Is this considered unsupervised or semi-supervised learning in anomaly detection?

Hi šŸ‘‹šŸ¼, Iā€™m working on an anomaly detection setup and Iā€™m a bit unsure how to correctly describe it from a learning perspective. The model...

Reddit - Machine Learning · 1 min ·
Machine Learning

Serious question. Did a transformer just describe itself and the universe and build itself a Shannon limit framework?

The Multiplicative Lattice as the Natural Basis for Positional Encoding Knack 2026 | Draft v6.0 Abstract We show that the apparent tradeo...

Reddit - Artificial Intelligence · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2508.17381] DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
Machine Learning

[2508.17381] DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning

Abstract page for arXiv paper 2508.17381: DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning

arXiv - Machine Learning · 3 min ·
[2508.02330] A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
Machine Learning

[2508.02330] A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps

Abstract page for arXiv paper 2508.02330: A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps

arXiv - Machine Learning · 4 min ·
[2507.21037] When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
Llms

[2507.21037] When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding

Abstract page for arXiv paper 2507.21037: When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject ...

arXiv - Machine Learning · 4 min ·
[2507.07580] COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
Machine Learning

[2507.07580] COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

Abstract page for arXiv paper 2507.07580: COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

arXiv - Machine Learning · 4 min ·
[2506.06482] TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Machine Learning

[2506.06482] TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

Abstract page for arXiv paper 2506.06482: TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

arXiv - Machine Learning · 4 min ·
[2506.06303] Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Llms

[2506.06303] Reward Is Enough: LLMs Are In-Context Reinforcement Learners

Abstract page for arXiv paper 2506.06303: Reward Is Enough: LLMs Are In-Context Reinforcement Learners

arXiv - Machine Learning · 4 min ·
[2506.04831] EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health Records
Machine Learning

[2506.04831] EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health Records

Abstract page for arXiv paper 2506.04831: EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health ...

arXiv - Machine Learning · 4 min ·
[2505.22785] Navigating the Latent Space Dynamics of Neural Models
Machine Learning

[2505.22785] Navigating the Latent Space Dynamics of Neural Models

Abstract page for arXiv paper 2505.22785: Navigating the Latent Space Dynamics of Neural Models

arXiv - Machine Learning · 4 min ·
[2505.16950] Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning
Llms

[2505.16950] Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

Abstract page for arXiv paper 2505.16950: Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

arXiv - Machine Learning · 4 min ·
[2505.15516] Explainable embeddings with Distance Explainer
Machine Learning

[2505.15516] Explainable embeddings with Distance Explainer

Abstract page for arXiv paper 2505.15516: Explainable embeddings with Distance Explainer

arXiv - Machine Learning · 4 min ·
[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
Machine Learning

[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

Abstract page for arXiv paper 2502.01521: Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

arXiv - Machine Learning · 3 min ·
[2409.11847] An efficient wavelet-based physics-informed neural network for multiscale problems
Machine Learning

[2409.11847] An efficient wavelet-based physics-informed neural network for multiscale problems

Abstract page for arXiv paper 2409.11847: An efficient wavelet-based physics-informed neural network for multiscale problems

arXiv - Machine Learning · 4 min ·
[2406.01969] Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
Machine Learning

[2406.01969] Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training

Abstract page for arXiv paper 2406.01969: Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training

arXiv - Machine Learning · 4 min ·
[2210.11039] Entire Space Counterfactual Learning for Reliable Content Recommendations
Machine Learning

[2210.11039] Entire Space Counterfactual Learning for Reliable Content Recommendations

Abstract page for arXiv paper 2210.11039: Entire Space Counterfactual Learning for Reliable Content Recommendations

arXiv - Machine Learning · 4 min ·
[2603.24567] Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Machine Learning

[2603.24567] Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling

Abstract page for arXiv paper 2603.24567: Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling

arXiv - Machine Learning · 3 min ·
[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 ·
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