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575,626 papers

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang et al.

2025-05-29FairnessReinforcement Learningreinforcement-learning
PaperCode
Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms

Yuting Li, Shaoyuan Huang, Tengwen Zhang, Cheng Zhang, Xiaofei Wang et al.

2025-05-29Anomaly DetectionScheduling
Paper
Graph Positional Autoencoders as Self-supervised Learners

Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li et al.

2025-05-29Self-Supervised LearningTransfer LearningNode Classification+2
Paper
Matryoshka Model Learning for Improved Elastic Student Models

Chetan Verma, Aditya Srinivas Timmaraju, Cho Jui-Hsieh, Suyash Damle, Ngot Bui et al.

2025-05-29MathLAMBADA
Paper
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data

Tu Bui, Mohamed Suliman, Aparajita Haldar, Mohammed Amer, Serban Georgescu et al.

2025-05-29Deep Learning
Paper
Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing

Connor Cooper, Geoffrey I. Webb, Daniel F. Schmidt

2025-05-29
PaperCode
Score-based Generative Modeling for Conditional Independence Testing

Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang et al.

2025-05-29
PaperCode
Comparative Analysis of the Land Use and Land Cover Changes in Different Governorates of Oman using Spatiotemporal Multi-spectral Satellite Data

Muhammad Shafi, Syed Mohsin Bokhari

2025-05-29Management
Paper
Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs

Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu et al.

2025-05-29
Paper
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space

Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li et al.

2025-05-29
PaperCode
Measuring Participant Contributions in Decentralized Federated Learning

Honoka Anada, Tatsuya Kaneko, Shinya Takamaeda-Yamazaki

2025-05-29Federated Learning
Paper
Equivalence of stochastic and deterministic policy gradients

Emo Todorov

2025-05-29Policy Gradient MethodsContinuous Control
Paper
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method

Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu et al.

2025-05-29feature selection
Paper
Generalizability vs. Counterfactual Explainability Trade-Off

Fabiano Veglianti, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei

2025-05-29
Paper
Daunce: Data Attribution through Uncertainty Estimation

Xingyuan Pan, Chenlu Ye, Joseph Melkonian, Jiaqi W. Ma, Tong Zhang et al.

2025-05-29
Paper
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu, Xue Wang, Jiaji Deng et al.

2025-05-29Time Series
Paper
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics

Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen et al.

2025-05-29parameter-efficient fine-tuning
PaperCode
DeepRTE: Pre-trained Attention-based Neural Network for Radiative Tranfer

Yekun Zhu, Min Tang, Zheng Ma

2025-05-29RTE
PaperCode
Improving the Effective Receptive Field of Message-Passing Neural Networks

Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister et al.

2025-05-29Graph RegressionGraph ClassificationNode Classification
PaperCode
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

Tian Tian, Chunyan Miao, Hangwei Qian

2025-05-29Representation LearningAnomaly DetectionTransfer Learning+3
PaperCode
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