MLJ 2026

29 papers

A Robust Approach for Image Clustering with Outliers via Tensor Low-Rank Representation Tong Wu

Anticipating to Change: A Proactive Approach for Concept Drift Adaptation in Data Streams Juan Valentín Guerrero Cano, Gabriel Jonas Aguiar, Alberto Cano

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DISTFormer: Enhance 3D Human Pose Estimation via Dual Inverse-Order Spatial-Temporal Transformer Ruidong Li, Hua Huo

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DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning Jingsheng Gao, Mengnan Qi, Xian Gao, Suncheng Xiang, Ke Ji, Jiacheng Ruan, Ting Liu, Yuzhuo Fu

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Enhancing Low-Degree Graph Neural Networks via Joint Training and Improved Message Passing Zedong Sun, Jian Li, Guanjun Liu

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Evaluating the Robustness of Explainable AI in Medical Image Recognition Under Natural and Adversarial Data Corruption Sara Repetto, Igor Maljkovic, Michele Lotto, Antonio Emanuele Cinà, Sebastiano Vascon, Fabio Roli

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Extended UCB Policies for Multi-Armed Bandit Problems Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou

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FDGReID: Federated Domain Generalization for Person Re-Identification Ke Niu, Haiyang Yu, Teng Fu, Mengyang Zhao, Bin Li, Xuelin Qian, Xiangyang Xue

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Federated SHAP: Privacy-Preserving and Consistent Post-Hoc Explainability in Federated Learning Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Fabrizio Ruffini

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FedGES: A Federated Learning Approach for Bayesian Network Structure Learning Pablo Torrijos, José A. Gámez, José M. Puerta

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Filtering Instances and Rejecting Predictions to Obtain Reliable Models in Healthcare Maria Gabriela Valeriano, David Kohan Marzagão, Alfredo Montelongo, Carlos Roberto Veiga Kiffer, Natan Katz, Ana Carolina Lorena

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Generating Efficiently Realistic Counterfactual Explanations Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet

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Geometric-K-Means: A Bound Free Approach to Fast and Eco-Friendly K-Means Parichit Sharma, Marcin Malec, Hasan Kurban, M. Oguzhan Külekci, Mehmet M. Dalkilic

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Learning Fair Policies in Multi-Objective Preference-Based Reinforcement Learning Umer Siddique, Abhinav Sinha, Yongcan Cao

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Low-Light Scene Text Image Enhancement in the Wild Haiyang Yu, Wei Lu, Yinglian Zhu, Ke Niu, Xiangyang Xue, Bin Li

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Low-Rank Fully-Connected Tensor Network Learning for Tensor-on-Tensor Regression Mengyu Wang, Fukang Li, Hanyu Li

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Machine Learning to Identify a New Digital Biomarker to Monitor Everyday Upper Limb Use in Children with Unilateral Cerebral Palsy Silvia Filogna, Giuseppe Prencipe, Alina Sîrbu, Elena Beani, Davide Marchi, Giordano Scerra, Giuseppina Sgandurra

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Mechanistic Interpretability of ReLU Neural Networks Through Piecewise-Affine Mapping Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum

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MORE-PLR: Multi-Output Regression Employed for Partial Label Ranking Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs

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Obstructive Sleep Apnea Prediction: A Comprehensive Review and Comparative Study Huynh Thi Khanh Chi, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet-Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sébastien Bailly, Jean Louis Pépin, Thai Son Mai

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Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery Mattia Cerrato, Lennart Baur, Jannis Brugger, Sajjad Shumaly, Nicholas Schmitt, Edward Finkelstein, Selina Jukic, Lars Münzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer

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Stochastic Online Optimization for Cyber-Physical and Robotic Systems Hao Ma, Melanie Nicole Zeilinger, Michael Muehlebach

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Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures Pegah Rahimian, Jesse Davis, László Toka

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The FFN as a Key-Value Memory: Functional Specialization in Transformer Computation Zaryab Rahman, Fakhrud Din, Shah Khalid, Rishi Karthikeyan

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The Urban Impact of AI: Modelling Feedback Loops in Location-Based Recommender Systems Giovanni Mauro, Marco Minici, Luca Pappalardo

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Uncertainty Quantification in Pairwise Difference Learning for Classification Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier

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VE-cGAN: Improved Generalization Analysis of Conditional Generative Adversarial Networks Using Vicinal Estimation Ki Joung Jang, Ganguk Hwang

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Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach Ming Li, Wei Wang, Masashi Sugiyama

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When Redundancy Matters: Machine Teaching of Representations Cèsar Ferri, Darío Garigliotti, José Hernández-Orallo, Brigt Arve Toppe Håvardstun, Jan Arne Telle

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