Statistics - Machine Learning

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Machine Learning Understanding Deep Learning: Simplifying the Complex

A look at deep learning behaviors and their explanations.

Alan Jeffares, Alicia Curth, Mihaela van der Schaar

2025-05-26T04:20:42+00:00 ― 6 min read

Machine Learning Navigating Complex Systems Through Interventions

A look at how interventions clarify complex data relationships across fields.

Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler

2025-05-26T02:58:04+00:00 ― 5 min read

Machine Learning Navigating the Challenges of Label Noise in Machine Learning

Learn how to tackle label noise in machine learning for better accuracy.

Yilun Zhu, Jianxin Zhang, Aditya Gangrade

2025-05-26T01:35:26+00:00 ― 8 min read

Computation and Language A New Approach to AI Training

This method helps AIs learn through creating and solving challenges.

Ziyu Ye, Rishabh Agarwal, Tianqi Liu

2025-05-26T00:12:48+00:00 ― 7 min read

Computation and Language Improving AI Truthfulness with SLED

A new method enhances the accuracy of AI-generated responses.

Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian

2025-05-25T22:50:10+00:00 ― 6 min read

Applications Predicting Connections in Collaboration Networks

Learn how to anticipate links in teamwork through collaboration networks.

Juan Sosa, Diego Martínez, Nicolás Guerrero

2025-05-25T20:04:54+00:00 ― 9 min read

Applications Using Machine Learning in Liability Insurance Classification

This article explores how machine learning aids in insurance policy classification.

Marjan Qazvini

2025-05-25T14:34:22+00:00 ― 7 min read

Machine Learning Understanding Fair Clustering in Data Science

Learn how fair clustering balances group representation in data.

Shihong Song, Guanlin Mo, Qingyuan Yang

2025-05-25T06:18:34+00:00 ― 4 min read

Machine Learning Symile: A New Way to Learn from Data

Symile combines different data types for deeper insights and understanding.

Adriel Saporta, Aahlad Puli, Mark Goldstein

2025-05-25T04:55:56+00:00 ― 6 min read

Machine Learning VQShape: A New Approach to Time-Series Data Analysis

VQShape simplifies time-series analysis through interpretable shapes and patterns.

Yunshi Wen, Tengfei Ma, Tsui-Wei Weng

2025-05-25T03:33:18+00:00 ― 6 min read

Machine Learning Grasping Gradient Noise Scale in AI Learning

Learn how Gradient Noise Scale impacts AI model training and performance.

Gavia Gray, Aman Tiwari, Shane Bergsma

2025-05-25T02:10:40+00:00 ― 7 min read

Image and Video Processing Advancing Tumor Detection in Lung Cancer Research

Researchers improve tumor spotting in mice MRI scans using nnU-Net.

Piotr Kaniewski, Fariba Yousefi, Yeman Brhane Hagos

2025-05-25T00:48:02+00:00 ― 6 min read

Machine Learning Unlocking Hidden Structures in High-Dimensional Data

Researchers reveal how hidden patterns enhance AI learning from complex data.

Charles Arnal, Clement Berenfeld, Simon Rosenberg

2025-05-24T15:09:36+00:00 ― 7 min read

Machine Learning Understanding Network Effects and Influences

Explore how connections in networks shape behavior and influence among people.

Yufeng Wu, Rohit Bhattacharya

2025-05-24T13:46:58+00:00 ― 5 min read

Machine Learning Evaluating AI Models with the FEET Framework

A guide to understanding AI model performance using the FEET framework.

Simon A. Lee, John Lee, Jeffrey N. Chiang

2025-05-24T12:24:20+00:00 ― 7 min read

Machine Learning Frugal Flows: A New Approach in Causal Inference

A flexible model for better data analysis and causal understanding.

Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans

2025-05-24T11:01:42+00:00 ― 7 min read

Machine Learning Promoting Fairness in Federated Learning

A new framework ensures fair performance across all devices in federated learning.

Shogo Nakakita, Tatsuya Kaneko, Shinya Takamaeda-Yamazaki

2025-05-24T08:16:26+00:00 ― 5 min read

Machine Learning Understanding Explainability in Machine Learning Models

Learn how explainability improves trust and performance in machine learning.

Davin Hill, Josh Bone, Aria Masoomi

2025-05-24T06:53:48+00:00 ― 7 min read

Machine Learning Improving Graph Neural Networks with Regularization

Learn how regularization boosts the stability of Graph Neural Networks.

Maya Bechler-Speicher, Moshe Eliasof

2025-05-23T19:52:44+00:00 ― 6 min read

Machine Learning Conformal Risk Minimization: A New Approach

A look at how CRM improves prediction models and manages uncertainty.

Sima Noorani, Orlando Romero, Nicolo Dal Fabbro

2025-05-23T18:30:06+00:00 ― 5 min read

Machine Learning Strategic Conformal Prediction: Managing Uncertainty in Machine Learning

SCP helps predict outcomes while considering strategic behavior changes.

Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert

2025-05-23T17:07:28+00:00 ― 4 min read

Machine Learning Predicting Movements: A Guide to Hidden Information

Learn how scientists predict movements using smart methods like particle filtering.

Xiaoyi Su, Zhixin Zhou, Rui Luo

2025-05-23T15:44:50+00:00 ― 7 min read

Machine Learning Addressing the Cold-Start Problem with G-SPARC

G-SPARC offers solutions for cold-start nodes in graph learning.

Yahel Jacobs, Reut Dayan, Uri Shaham

2025-05-23T14:22:12+00:00 ― 6 min read

Methodology A Look at Conformal Prediction Techniques

Learn about conformal prediction and its methods for making accurate guesses.

Ulysse Gazin, Ruth Heller, Etienne Roquain

2025-05-23T07:29:02+00:00 ― 7 min read

Optimization and Control Understanding Probability and Gaussian Mixture Models

A look at probability, GMMs, and their applications in different fields.

Gonzalo Contador, Pedro Pérez-Aros, Emilio Vilches

2025-05-23T03:21:08+00:00 ― 6 min read

Computation and Language Advancements in Machine Translation with Cycle Consistency

Explore how cycle consistency and language models enhance machine translation quality.

Jianqiao Wangni

2025-05-22T23:13:14+00:00 ― 7 min read

Machine Learning Modeling Event Timing Amid Uncertainty

A new model addresses the challenge of uncertain event timing in various fields.

Xiuyuan Cheng, Tingnan Gong, Yao Xie

2025-05-22T21:50:36+00:00 ― 5 min read

Machine Learning Classifier Chain Networks: A New Approach to Multi-Label Classification

This model offers a fresh method for analyzing complex data with multiple categories.

Daniel J. W. Touw, Michel van de Velden

2025-05-22T20:27:58+00:00 ― 6 min read

Machine Learning TAMA: A New Approach to Anomaly Detection

TAMA offers innovative solutions for detecting time series anomalies with clear insights.

Jiaxin Zhuang, Leon Yan, Zhenwei Zhang

2025-05-22T19:05:20+00:00 ― 6 min read

Machine Learning Understanding Activation Sparsity in Language Models

Exploring activation sparsity to improve language model efficiency.

Yuqi Luo, Chenyang Song, Xu Han

2025-05-22T17:42:42+00:00 ― 5 min read

Machine Learning Improving Graph Neural Networks with Unique Identifiers

New methods enhance GNNs using unique identifiers for better graph distinction.

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb

2025-05-22T14:57:26+00:00 ― 6 min read

Machine Learning Understanding Variable Importance in Machine Learning

A look at how variables impact machine learning predictions.

Xiaohan Wang, Yunzhe Zhou, Giles Hooker

2025-05-22T13:34:48+00:00 ― 7 min read

Machine Learning Model Complexity and Out-of-Distribution Detection

Exploring how model size affects performance in OOD detection.

Mouïn Ben Ammar, David Brellmann, Arturo Mendoza

2025-05-22T12:12:10+00:00 ― 4 min read

Machine Learning The Role of the Gauss-Newton Matrix in Neural Networks

Discover how the Gauss-Newton matrix enhances neural network training efficiency.

Jim Zhao, Sidak Pal Singh, Aurelien Lucchi

2025-05-22T10:49:32+00:00 ― 7 min read

Machine Learning SpecRaGE: A Smarter Way to Handle Multi-View Data

SpecRaGE improves how computers learn from mixed data sources.

Amitai Yacobi, Ofir Lindenbaum, Uri Shaham

2025-05-22T09:26:54+00:00 ― 6 min read

Machine Learning Making Reliable Predictions in Pharmaceuticals

Exploring the importance of prediction sets in drug development.

Ji Won Park, Robert Tibshirani, Kyunghyun Cho

2025-05-22T08:04:16+00:00 ― 5 min read

Systems and Control Simplifying Predictions with Low-Rank Tensors

Learn how low-rank tensors streamline predictions in complex systems.

Madeline Navarro, Sergio Rozada, Antonio G. Marques

2025-05-22T02:33:44+00:00 ― 5 min read

Machine Learning Improving Decision-Making Through Experimental Design

A new method combines experiments and decision-making for better outcomes.

Daolang Huang, Yujia Guo, Luigi Acerbi

2025-05-22T01:11:06+00:00 ― 7 min read

Machine Learning Addressing Label Shift in Machine Learning Models

Learn how label shift impacts machine learning and discover methods to address it.

Ruidong Fan, Xiao Ouyang, Hong Tao

2025-05-21T23:48:28+00:00 ― 6 min read

Machine Learning Clearing the Confusion in Machine Learning Explanations

A framework to improve clarity and reduce conflicting explanations in machine learning.

Sichao Li, Quanling Deng, Amanda S. Barnard

2025-05-21T22:25:50+00:00 ― 6 min read