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6 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

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  1. UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting

    Sep 30, 2026Zhihao Guo, Peng Wang, Zidong Chen +7Novel View SynthesisOpacity

    Manchester Metropolitan University, Manchester, United Kingdom. · University of Surrey, Guildford, United Kingdom. · Imperial College London, London, United Kingdom. +5

  2. TSMD: Temporal-Stream Modality Dropout for Robust Video Highlight Detection

    Sep 30, 2026Bo-Yuan Cheng, Kuan-Yu Chen, Po-Han Huang +2Fine-Grained Video UnderstandingAi-Generated Video Detection

    AI Research Center, Inventec Corporation, Taiwan · Graduate Institute of Communication Engineering, National Taiwan University, Taiwan

  3. Reliability-Gated Fusion of Consumer Head and Foot IMUs for Lower-Body 3D Pose

    Sep 28, 2026Zhilin Guo, Boqiao Zhang, Oszkár Urbán +8Inertial Measurement UnitsDropout

    University of Cambridge · Chalmers University of Technology

  4. Loop Dropout: Regularizing Shared Updates in Looped Language Models

    Sep 28, 2026Zirui Zhu, Hailun Xu, Xuanlei Zhao +5DropoutRegularization

  5. Optimal Transport Dropout for Structured Predictive Uncertainty

    Sep 27, 2026Giacomo Lorenzon, Francesco RegazzoniPredictive UncertaintyDropout

    MOX–Department of Mathematics, Politecnico di Milano, Italy

  6. ROAM-ASD: Robust Open-World Active Speaker Detection with Flexible Multimodal Fusion

    Sep 22, 2026Pu Wang, Hugo Van hammeMultimodal FusionFine-Grained Perception

    KU Leuven, Department of Electrical Engineering, Leuven, Belgium

  7. MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation

    Sep 4, 2026Mohanad AlbughdadiTrustworthy Earth Observation DecisionsEarth Observation

    European Centre for Medium-Range Weather Forecasts Bonn, Germany

  8. Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements

    Sep 2, 2026Guanhua Liu, Tong Wu, Lixian Zhang +2Model Predictive ControlClosed-Loop Feedback

    State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, China · School of Astronautics, Harbin Institute of Technology, China · Nanyang Environment and Water Research Institute (NEWRI), Nanyang Technological University, Singapore

  9. MASQ: Mask-Aware Spatiotemporal Quantization for Unsupervised Skeleton Action Segmentation

    Aug 30, 2026Xinyao Qin, Linxiang Peng, Youbao Ye +2Temporal Action SegmentationSkeleton-Based Action Recognition

    University of Science and Technology of China, China

  10. CAM-Guided Saliency Cutout and Image-Based Malware Classification

    Aug 12, 2026Yasaman Ebrahimi, Martin Jurecek, Mark StampGradient-Weighted Class Activation MappingDropout

    Department of Computer Science, San Jose State University · Faculty of Information Technology, Czech Technical University in Prague

  11. Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation

    Aug 10, 2026Guanqun Yang, Wenlong ZhangMultimodal Recommendation ModelModalities

    Stevens Institute of Technology Hoboken, NJ, USA

  12. AquaJEPA: An Action-Conditioned Multimodal JEPA Family for Underwater Robot Dynamics

    Jul 31, 2026Alan-Barsag Gazzaev, Alexey Gavrilov, Sergey MuravyovUnderwater RobotsMulti-Modal Sensing

    ITMO University

  13. Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries

    Jul 23, 2026Hyeong-Gun Joo, Songnam Hong, Dong-Joon ShinSecure AggregationFederated Learning

    Department of Electronic Engineering, Hanyang University, Seoul, South Korea

  14. Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout

    Jul 22, 2026Xuchen Zhu, Yajuan Wei, Shuang Hao +3DropoutSemantic Segmentation

    Xi’an University of Posts & Telecommunications, Xi’an, China · Xi’an Jiaotong University, Xi’an, China · Huazhong University of Science and Technology, Wuhan, China +1

  15. Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets

    Jul 18, 2026Javier Maass, Lénaïc ChizatResidual NetworksDropout

    École Polytechnique Fédérale de Lausanne (EPFL), Institute of Mathematics, 1015 Lausanne, Switzerland. · Department of Mathematics, National University of Singapore, Singapore.

  16. SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection

    Jul 16, 2026Huong Ninh, Chien Thai, Mai Xuan Trang +3Multimodal Industrial Anomaly DetectionGraph Anomaly Detection

    Institute of Artificial Intelligence, University of Engineering and Technology, Vietnam National University · Applied AI Lab, Phenikaa School of Computing, Phenikaa University

  17. Partial Skeleton Visibility for Action Recognition: A Constrained Field-of-View Approach

    Jul 1, 2026Yingjie Dai, Tianyang Xu, Yanglin Deng +2Skeleton-Based Action RecognitionVisibility

    Jiangnan University, Wuxi, China · University of Surrey, Guildford, UK

  18. Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning

    Jun 23, 2026Erik Ayari, Manuel Traub, Martin V. ButzRepresentation LearningResidual Learning

    Neuro-Cognitive Modeling Group, University of Tübingen, Tübingen, Germany

  19. Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection

    Jun 23, 2026Gautier-Edouard Edouard FilardoQuantum Neural NetworksQubit

    CREOGN · Efrei Research Lab, Efrei Paris Panth´eon-Assas Universit´e, Villejuif, France

  20. Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography

    Jun 21, 2026Yikuang Yuluo, Ao Wang, Shen Kuan +6Sparse-ViewCone-Beam Computed Tomography

    1Chongqing University, Chongqing, China · 2Peking University Health Science Center, Beijing, China

  21. Geometric and Information Compression of Representations in Deep Learning

    Jun 19, 2026Linara Adilova, Henning Petzka, Asja Fischer +1Information BottleneckMutual Information

    Research Center Trustworthy Data Science and Security, Dortmund · Faculty of Computer Science, Ruhr University Bochum · Signal Processing and Speech Communication Laboratory, Graz University of Technology +2

  22. Causal-Privacy Audit Workflow for Synthetic and Distilled Data in Dropout Support

    Jun 14, 2026Hanghang Zheng, Xiwei Zhuang, Zhong Wang +4Distributional FidelityCausal Inferences

    Central University of Finance and Economics, Beijing, PR China · China Development Bank, Beijing, PR China

  23. MaskedFOP: Polyglot Speaker Identification under Missing Visual Modality via Cascaded Graph Label Propagation

    Jun 12, 2026Ayoub Elkhouzari, Youssef Iraqi, Loubna MekouarSpeakerNeural Audio

    College of Computing, University Mohammed VI Polytechnic

  24. Channel-Oriented Design for EEG-to-Music Reconstruction

    Jun 2, 2026Jiaxin Qing, Junwei Lu, Lexin LiElectroencephalography DecodingAuditory Attention

    UC Berkeley · Harvard University

  25. Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility

    May 26, 2026Ye Kyaw Thu, Thazin Myint Oo, Thepchai SupnithiRecurrent Neural NetworksCnn-Lstm

    National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand · Language Understanding Lab., Yangon, Myanmar

  26. CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout

    May 26, 2026Tongxi Song, Ziyu Li, Zihan Li +6Magnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

    School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China · Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK · Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States +1

  27. Dirichlet-Based Monte Carlo Dropout for Uncertainty Estimation in Neural Networks

    May 22, 2026Rouaa Hoblos, Noura Dridi, Noureddine Zerhouni +1Uncertainty-Aware ClassificationUncertainty Quantification

    FEMTO-ST · Universit´e Marie et Louis Pasteur, SUPMICROTECH, CNRS, Institut FEMTO-ST, F-25000 Besan¸con, France

  28. Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos

    May 20, 2026Lucas Fernandez SarmientoDropoutScaling Laws

    Carnegie Mellon University (CMU), Pittsburgh, Pennsylvania, USA.

  29. Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities

    May 19, 2026Irem Ulku, Ö. Özgür Tanrıöver, Erdem AkagündüzAmodal SegmentationMissing Modalities

    Department of Computer Engineering, Ankara University, Ankara, Türkiye · Department of Modeling and Simulation, Graduate School of Informatics, METU, Ankara, Türkiye

  30. Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models

    May 17, 2026Urban Širca, Maryam Alimardani, Stefanos Zafeiriou +1Electroencephalography Foundation ModelsElectroencephalography

    Vrije Universiteit Amsterdam · Imperial College London

  31. Sparse Mixture-of-Experts Routing in Visual Diffusion Transformers:Diagnosis, Boundary Calibration and Evolutionary Roadmap from Routing Collapse to Selective Deadlock

    May 12, 2026Haiying ShaMixture-Of-ExpertsDiffusion Transformers

    Independent Researcher

  32. Resilient Vision-Tabular Multimodal Learning under Modality Missingness

    May 12, 2026Camillo Maria Caruso, Valerio Guarrasi, Paolo SodaMissing ModalitiesMultimodal Learning

    Research Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Roma, Italy, Europe · Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden, Europe

  33. Beyond Similarity: Temporal Operator Attention for Time Series Analysis

    May 11, 2026Jevon Twitty, Vinh Pham, Nitiwith Rotchanarak +4Temporal AttentionTime Series

    Georgia Institute of Technology1

  34. Private Speech Classification without Collapse: Stabilized DP Training and Offline Distillation

    May 4, 2026Yadi Wen, Tianxin Li, Enji Liang +2SpeakerStandard Differential-Privacy

    Shanxi Key Laboratory of Industrial Internet Security, Taiyuan University of Technology, China · University of Michigan, Ann Arbor, USA

  35. Explicit Dropout: Deterministic Regularization for Transformer Architectures

    Apr 22, 2026Vidhi Agrawal, Illia Oleksiienko, Alexandros IosifidisDropoutTransformer Attention

    Faculty of Information Technology and Communications,Tampere University, Tampere, 33720, Finland · Department of Electrical and Computer Engineering, Aarhus University, Aarhus, 8000, Denmark

  36. Language models recognize dropout and Gaussian noise applied to their activations

    Apr 19, 2026Damiano Fornasiere, Mirko Bronzi, Spencer Kitts +3Model ActivationsDropout

    LawZero

  37. Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection

    Apr 17, 2026Irem Ulku, Erdem Akagündüz, Ömer Özgür TanrıöverAmodal SegmentationComplementary Modalities

    Department of Computer Engineering, Ankara University, Ankara, Türkiye · Department of Modeling and Simulation, Graduate School of Informatics, METU, Ankara, Türkiye

  38. Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis

    Apr 12, 2026Yongbo Shu, Wenzhao Xie, Shanhu Yao +4Prostate Magnetic Resonance ImagingMultimodal Fusion

    The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China · School of Life Sciences, Central South University, Changsha, 410013, Hunan, China · Hunan Provincial Key Laboratory of Medical Information Research (Central South University), Changsha, 410011, Hunan, China +2

  39. Dropout Neural Network Training Viewed from a Percolation Perspective

    Dec 15, 2025Finley Devlin, Jaron SandersNeural Network TrainingNeural Network

    Second Foundation, Czechia · Eindhoven University of Technology, The Netherlands

  40. Patent Representation Learning via Self-supervision

    Nov 3, 2025You Zuo, Kim Gerdes, Éric de la Clergerie +1PatentSelf-Supervised Representations

    ALMAnaCH · Inria Paris, France · Questel Paris, France +2

  41. Unified Enhancement of the Generalization and Robustness of Language Models via Bi-Stage Optimization

    Mar 19, 2025Yudao Sun, Juan Yin, Juan Zhao +3Adversarial TrainingLanguage Modeling

    Department of New Networks, Peng Cheng Laboratory, Shenzhen 518055, China · Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore 117576 · School of Data Science and Artificial Intelligence, Chang’an University, Shaanxi, 710064, China