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    LAPRAS : Learning-Augmented PRivate Answering for linear query Streams

    Published in ArXiv cs.DB Recent Papers (2026)
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    GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia

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    Learning causal graphs via nonlinear sufficient dimension reduction

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    Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs

    Published in ArXiv cs.LG Recent Papers (2026)
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    Surviving the Edge: Federated Learning under Networking and Resource Constraints

    Published in ArXiv cs.DC Recent Papers (2026)
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    Hierarachical Multiagent Reinforcement Learning for Multi-Group Tax Game

    Published in ArXiv cs.MA Recent Papers (2026)
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    Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer

    Published in ArXiv cs.LG Recent Papers (2026)
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    TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding

    Published in ArXiv cs.IR Recent Papers (2026)
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    A Pragmatic Comparison of Cryptographic Computation Technologies for Machine Learning

    Published in ArXiv cs.CR Recent Papers (2026)
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    Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection

    Published in ArXiv cs.CR Recent Papers (2026)
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    The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

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    The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

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    Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning

    Published in ArXiv cs.MA Recent Papers (2026)
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    Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval

    Published in ArXiv cs.IR Recent Papers (2026)
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    ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting

    Published in ArXiv cs.GR Recent Papers (2026)
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    Learning a Delighting Prior for Facial Appearance Capture in the Wild

    Published in ArXiv cs.GR Recent Papers (2026)
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    SkillOS: Learning Skill Curation for Self-Evolving Agents

    Published in ArXiv cs.CL Recent Papers (2026)
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    Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding

    Published in ArXiv cs.MA Recent Papers (2026)
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    Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation

    Published in ArXiv cs.MA Recent Papers (2026)
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    Multi-Objective Constraint Inference using Inverse reinforcement learning

    Published in ArXiv cs.MA Recent Papers (2026)
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