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Literature Library

如果共识是谎言呢? 在测试时间进行选择性补充强化学习

What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time

作者
Authors: Dong Yan|Jian Liang|Yanbo Wang|Shuo Lu|Ran He|Tien... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 401 📚 14

从事件日志中发现决定同步模式

Discovery of Decision Synchronization Patterns from Event Logs

作者
Authors: Tijmen Kuijpers|Karolin Winter|Remco Dijkman 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 128 📚 4

关于记忆中Latent 通用化的动态和amp;可转让性

On the Dynamics & Transferability of Latent Generalization during Memorization

作者
Authors: Simran Ketha|Venkatakrishnan Ramaswamy 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 316 📚 25

NASimJax:GPU加速入网测试政策学习框架

NASimJax: GPU-Accelerated Policy Learning Framework for Penetration Testing

作者
Authors: Raphael Simon|José Carrasquel|Wim Mees|Pieter Libi... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 464 📚 9

IsoCLIP:高效模式内对齐的 CLIP 投影仪

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment

作者
Authors: Simone Magistri|Dipam Goswami|Marco Mistretta|Bart... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 395 📚 27

深入学习在线绘图的失败模式:如何衡量和处理它们

Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them

作者
Authors: Michael Hubbertz|Qi Han|Tobias Meisen 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 93 📚 47

利用图神经网络模拟复杂网格上的子网格生产率

Modeling subgrid scale production rates on complex meshes using graph neural networks

作者
Authors: Priyabrat Dash|Mathis Bode|Konduri Aditya 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 154 📚 6

FIPO:用未来-KL影响的政策优化来启发深刻理性

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

作者
Authors: Chiyu Ma|Shuo Yang|Kexin Huang|Jinda Lu|Haoming Me... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 286 📚 9

GDEGAN:高斯动态等效地图观测网

GDEGAN: Gaussian Dynamic Equivariant Graph Attention Network for Ligand Binding Site Prediction

作者
Authors: Animesh|Plaban Kumar Bhowmick|Pralay Mitra 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 326 📚 16

Eye Gaze- Informed and Context-Award Pedestria Tracepression in 共享空间与自动航天飞机:虚拟现实研究

Eye Gaze-Informed and Context-Aware Pedestrian Trajectory Prediction in Shared Spaces with Automated...

作者
Authors: Danya Li|Yan Feng|Rico Krueger 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 159 📚 7

在可缩放电路优化的量子特性图中量化门贡献

Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization

作者
Authors: F. Rodríguez-Díaz|D. Gutiérrez-Avilés|A. Troncoso|... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 323 📚 33

发展网络与自主运行

Growing Networks with Autonomous Pruning

作者
Authors: Charles De Lambilly|Stefan Duffner 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 49 📚 48

双重路径归属:通过层-Wise 目标传播对 SwiGLU 转换器的有效归属

Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propa...

作者
Authors: Lasse Marten Jantsch|Dong-Jae Koh|Seonghyeon Lee|Y... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 491 📚 17

FedPDPO:大语言模式对接的联邦个人化直接优惠优化

FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment

作者
Authors: Kewen Zhu|Liping Yi|Zhiming Zhao|Zhuang Qi|Han Yu|... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 522 📚 1

FedRG: Unleashing the Representation Geometry for Federated 学习 (Learning) with Noisy Clients

FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients

作者
Authors: Tian Wen|Zhiqin Yang|Yonggang Zhang|Xuefeng Jiang|... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 111 📚 18

从相似性/多样性和对等性中学习

Learning from Similarity/Dissimilarity and Pairwise Comparison

作者
Authors: Tomoya Tate|Kosuke Sugiyama|Masato Uchida 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 388 📚 42

差异隐私下的最小和可适应共变矩阵估计

Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy

作者
Authors: T. Tony Cai|Yicheng Li 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 29 📚 30

遗憾分析睡眠竞争强盗

Regret Analysis of Sleeping Competing Bandits

作者
Authors: Shinnosuke Uba|Yutaro Yamaguchi 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 57 📚 13

在扩展基因模型和Godel-Tarski-Lob Limits中减少返回

Diminishing Returns in Expanding Generative Models and Godel-Tarski-Lob Limits

作者
Authors: Angshul Majumdar 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 298 📚 11

由次级目标驱动的改进长范围 LLM代理的框架

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents

作者
Authors: Taiyi Wang|Sian Gooding|Florian Hartmann|Oriana Ri... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 67 📚 29