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575,626 papers

Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning

Ziqi Jia, Anmin Wang, Xiaoyang Qu, Xiaowen Yang, Jianzong Wang et al.

2025-06-05Continual Learning
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Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Yue Ma, Kunyu Feng, Xinhua Zhang, Hongyu Liu, David Junhao Zhang et al.

2025-06-05Video InpaintingVideo Generation
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LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation

Biao Guo, Fangmin Guo, Guibo Luo, Xiaonan Luo, Feng Zhang et al.

2025-06-05Pose EstimationMulti-Person Pose Estimation
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Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning

Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Xin Jin et al.

2025-06-05MathVisual Grounding
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EECD-Net: Energy-Efficient Crack Detection with Spiking Neural Networks and Gated Attention

Shuo Zhang

2025-06-05Super-Resolution
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Sample Complexity and Representation Ability of Test-time Scaling Paradigms

Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar et al.

2025-06-05
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Transformers Meet In-Context Learning: A Universal Approximation Theory

Gen Li, Yuchen Jiao, Yu Huang, Yuting Wei, Yuxin Chen et al.

2025-06-05
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UnHiPPO: Uncertainty-aware Initialization for State Space Models

Marten Lienen, Abdullah Saydemir, Stephan Günnemann

2025-06-05
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NIMO: a Nonlinear Interpretable MOdel

Shijian Xu, Marcello Massimo Negri, Volker Roth

2025-06-05
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Towards Reasonable Concept Bottleneck Models

Nektarios Kalampalikis, Kavya Gupta, Georgi Vitanov, Isabel Valera

2025-06-05
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Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization

Tam Le

2025-06-05
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kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients

Iosif Lytras, Sotirios Sabanis, Ying Zhang

2025-06-05
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Amortized variational transdimensional inference

Laurence Davies, Dan MacKinlay, Rafael Oliveira, Scott A. Sisson

2025-06-05Bayesian OptimizationBayesian InferenceVariational Inference
PaperCode
Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence

José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, Joaquín Míguez

2025-06-05
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On the Mechanism of Reasoning Pattern Selection in Reinforcement Learning for Language Models

Xingwu Chen, Tianle Li, Difan Zou

2025-06-05Instruction FollowingReinforcement Learning
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Subjective Perspectives within Learned Representations Predict High-Impact Innovation

Likun Cao, Rui Pan, James Evans

2025-06-05Large Language Model
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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices

Andersen Chang, Tiffany M. Tang, Tarek M. Zikry, Genevera I. Allen

2025-06-05Astronomy
PaperCode
Admissibility of Completely Randomized Trials: A Large-Deviation Approach

Guido Imbens, Chao Qin, Stefan Wager

2025-06-05
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Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash et al.

2025-06-05Causal Inference
PaperCode
Nonlinear Causal Discovery for Grouped Data

Konstantin Göbler, Tobias Windisch, Mathias Drton

2025-06-05Causal DiscoveryModel SelectionGraph Learning
Paper
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