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Machine Learning

[D] ICML 2026 Average Score

Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...

Reddit - Machine Learning · 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 ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·

All Content

[2407.15738] Parallel Split Learning with Global Sampling
Machine Learning

[2407.15738] Parallel Split Learning with Global Sampling

The paper presents a novel server-driven sampling strategy for distributed deep learning, enhancing scalability and accuracy in resource-...

arXiv - Machine Learning · 3 min ·
[2408.05861] Temporal Knowledge-Graph Memory in a Partially Observable Environment
Ai Agents

[2408.05861] Temporal Knowledge-Graph Memory in a Partially Observable Environment

This paper introduces a novel temporal knowledge-graph memory system for agents operating in partially observable environments, enhancing...

arXiv - Machine Learning · 4 min ·
[2407.20058] Shapley Value Computation in Ontology-Mediated Query Answering
Ai Agents

[2407.20058] Shapley Value Computation in Ontology-Mediated Query Answering

This paper explores the application of the drastic Shapley value in ontology-mediated query answering, presenting a complexity analysis t...

arXiv - AI · 4 min ·
[2602.22207] Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
Llms

[2602.22207] Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets

The paper presents an automated framework for translating benchmarks and datasets for multilingual Large Language Model evaluation, addre...

arXiv - Machine Learning · 3 min ·
[2602.22188] Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach
Machine Learning

[2602.22188] Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

This article presents a novel approach to modeling rock-fluid interactions using surrogate models that are grid-size invariant, enhancing...

arXiv - Machine Learning · 4 min ·
[2602.22149] Enhancing Framingham Cardiovascular Risk Score Transparency through Logic-Based XAI
Ai Safety

[2602.22149] Enhancing Framingham Cardiovascular Risk Score Transparency through Logic-Based XAI

This article presents a logic-based explainable AI model designed to enhance the transparency of the Framingham Cardiovascular Risk Score...

arXiv - AI · 4 min ·
[2602.22107] Don't stop me now: Rethinking Validation Criteria for Model Parameter Selection
Machine Learning

[2602.22107] Don't stop me now: Rethinking Validation Criteria for Model Parameter Selection

This paper examines how different validation criteria for model parameter selection impact test performance in neural classifiers, reveal...

arXiv - Machine Learning · 4 min ·
[2602.22101] On Imbalanced Regression with Hoeffding Trees
Machine Learning

[2602.22101] On Imbalanced Regression with Hoeffding Trees

This paper explores the application of Hoeffding trees for imbalanced regression tasks, highlighting the effectiveness of kernel density ...

arXiv - Machine Learning · 4 min ·
[2602.22066] DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
Llms

[2602.22066] DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models

The paper presents DualWeaver, a novel framework that enhances multivariate forecasting using univariate time series foundation models th...

arXiv - Machine Learning · 3 min ·
[2602.22059] NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training
Machine Learning

[2602.22059] NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training

The paper introduces NESTOR, a nested Mixture-of-Experts (MoE) neural operator designed for efficient large-scale pre-training of PDEs, e...

arXiv - AI · 3 min ·
[2602.22055] Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
Machine Learning

[2602.22055] Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach

This article presents a novel Physics-Informed Kolmogorov-Arnold Network (PI-KAN) for predicting vessel shaft power and fuel consumption,...

arXiv - Machine Learning · 4 min ·
[2602.22026] RGB-Event HyperGraph Prompt for Kilometer Marker Recognition based on Pre-trained Foundation Models
Llms

[2602.22026] RGB-Event HyperGraph Prompt for Kilometer Marker Recognition based on Pre-trained Foundation Models

This article presents a novel approach to Kilometer Marker Recognition (KMR) using RGB-event cameras, enhancing visual perception for aut...

arXiv - AI · 3 min ·
[2602.21987] PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for medical images
Machine Learning

[2602.21987] PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for medical images

PatchDenoiser introduces a lightweight, multi-scale denoising framework for medical images, effectively reducing noise while preserving a...

arXiv - AI · 4 min ·
[2602.21935] A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography
Machine Learning

[2602.21935] A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography

This article presents a framework for coronary artery calcium (CAC) scoring that generalizes across gated and non-gated CT scans, enhanci...

arXiv - AI · 4 min ·
[2602.21855] Understanding Annotation Error Propagation and Learning an Adaptive Policy for Expert Intervention in Barrett's Video Segmentation
Machine Learning

[2602.21855] Understanding Annotation Error Propagation and Learning an Adaptive Policy for Expert Intervention in Barrett's Video Segmentation

This article explores the challenges of annotation error propagation in endoscopic video segmentation, proposing a framework for optimizi...

arXiv - AI · 3 min ·
[2602.21829] StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles
Machine Learning

[2602.21829] StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles

The paper introduces StoryMovie, a dataset designed for aligning visual stories with movie scripts and subtitles, enhancing dialogue attr...

arXiv - AI · 3 min ·
[2602.21772] UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation
Machine Learning

[2602.21772] UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation

UniWhisper introduces an efficient framework for continual multi-task training, enhancing audio representation across diverse tasks, outp...

arXiv - AI · 3 min ·
[2602.21757] Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction
Machine Learning

[2602.21757] Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction

The paper presents FORESEE, an efficient online learning method for traffic demand prediction that improves accuracy and reduces computat...

arXiv - Machine Learning · 4 min ·
[2602.21715] Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
Llms

[2602.21715] Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach

This article presents a hybrid approach for voltage control in active distribution networks, combining large language models and reinforc...

arXiv - AI · 4 min ·
[2602.21657] Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis
Machine Learning

[2602.21657] Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis

The paper presents VCC-Net, a visual cognition-guided cooperative network aimed at enhancing chest X-ray diagnosis through improved human...

arXiv - AI · 4 min ·
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