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Artificial Intelligence & Machine Learning — Research Papers | Faculti

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Artificial Intelligence & Machine Learning

Core AI/ML methods, models, and techniques

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530,750Articles

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artificial intelligencemachine learningdeep learningreinforcement learningdeep reinforcement learningsupervised learningunsupervised learningself-supervised learningcontrastive learningfew-shot learningtransfer learningfederated learningrepresentation learningdomain adaptationknowledge distillation

Articles published on Artificial Intelligence & Machine Learning

530,750 results

7 Feb 2026|arxiv:2602.03075

ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution

Junjie Huang; Jiarui Qin; Di Yin; Weiwen Liu; Yong Yu; Xing Sun; Weinan Zhang2026·arXiv Preprint

10 Mar 2026|arxiv:2603.05758

Full Dynamic Range Sky-Modelling For Image Based Lighting

Ian J. Maquignaz2026·arXiv Preprint

28 Jan 2026|arxiv:2601.17772

Unveiling hidden features of social evolution by inferring Langevin dynamics from data

Youngkyoung Bae; Hajime Shimao; Seungwoong Ha; Luna Yang; David Wolpert2026·arXiv Preprint

13 Feb 2026|arxiv:2602.10607

Hierarchical Zero-Order Optimization for Deep Neural Networks

Sansheng Cao; Zhengyu Ma; Yonghong Tian2026·arXiv Preprint

27 Jan 2026|arxiv:2601.16631

PanopMamba: Vision State Space Modeling for Nuclei Panoptic Segmentation

Ming Kang; Fung Fung Ting; Raphaël C. -W. Phan; Zongyuan Ge; Chee-Ming Ting2026·arXiv Preprint

29 Jan 2026|arxiv:2601.19243

Contrast-Source-Based Physics-Driven Neural Network for Inverse Scattering Problems

Yutong Du; Zicheng Liu2026·arXiv Preprint

7 Jan 2026|arxiv:2601.01410

Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems

Sunki Hong; Jisoo Lee2026·arXiv Preprint

20 Mar 2026|arxiv:2603.17365

Variational Kernel Design for Internal Noise: Gaussian Chaos Noise, Representation Compatibility, and Reliable Deep Learning

Ziran Liu2026·arXiv Preprint

16 Jan 2026|arxiv:2601.09071

Resolving Predictive Multiplicity for the Rashomon Set

Parian Haghighat; Hadis Anahideh; Cynthia Rudin2026·arXiv Preprint

24 Jan 2026|arxiv:2601.15589

Deep Learning for Perishable Inventory Systems with Human Knowledge

Xuan Liao; Zhenkang Peng; Ying Rong2026·arXiv Preprint

31 Jan 2026|arxiv:2601.21572

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks

Jinhao Li; Yuhao Sun; Zhiyuan Ma; Hao He; Xinche Zhang; Xing Chen; Jin Li; Sen Song2026·arXiv Preprint

2 Apr 2026|arxiv:2603.29914

Task Scarcity and Label Leakage in Relational Transfer Learning

Francisco Galuppo Azevedo; Clarissa Lima Loures; Denis Oliveira Correa2026·arXiv Preprint

11 Mar 2026|arxiv:2603.00152

Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design

Haoxiang Sun; Tao Wang; Chenwei Tang; Li Yuan; Jiancheng Lv2026·arXiv Preprint

7 Feb 2026|arxiv:2602.05120

Certifiable Boolean Reasoning Is Universal

Wenhao Li; Anastasis Kratsios; Hrad Ghoukasian; Dennis Zvigelsky2026·arXiv Preprint

18 Feb 2026|arxiv:2602.14367

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

Shuofei Qiao; Yunxiang Wei; Xuehai Wang; Bin Wu; Boyang Xue; Ningyu Zhang; Hossein A. Rahmani; Yanshan Wang; Qiang Zhang; Keyan Ding; Jeff Z. Pan; Huajun Chen; Emine Yilmaz2026·arXiv Preprint

30 Jan 2026|arxiv:2601.11669

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning

Wenwen Liao; Hang Ruan; Jianbo Yu; Xiaofeng Yang; Qingchao Jiang; Xuefeng Yan2026·arXiv Preprint

20 Mar 2026|arxiv:2603.17829

CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents

Lintang Sutawika; Aditya Bharat Soni; Bharath Sriraam R R; Apurva Gandhi; Taha Yassine; Sanidhya Vijayvargiya; Yuchen Li; Xuhui Zhou; Yilin Zhang; Leander Melroy Maben; Graham Neubig2026·arXiv Preprint

5 Jan 2026|10.1177/13548565251413587

Deepfake content in political communication

Lucian Vasile Szabo; Simona Bader2026·Convergence The International Journal of Research into New Media TechnologiesTier 2

7 Feb 2026|arxiv:2602.02219

Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge

Yuzheng Xu; Tosho Hirasawa; Tadashi Kozuno; Yoshitaka Ushiku2026·arXiv Preprint

19 Mar 2026|arxiv:2603.16201

Robust Generative Audio Quality Assessment: Disentangling Quality from Spurious Correlations

Kuan-Tang Huang; Chien-Chun Wang; Cheng-Yeh Yang; Hung-Shin Lee; Hsin-Min Wang; Berlin Chen2026·arXiv Preprint

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