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575,626 papers

Unsupervised Skill Discovery through Skill Regions Differentiation

Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang et al.

2025-06-17Unsupervised Reinforcement LearningReinforcement LearningDensity Estimation
Paper
Towards Robust Learning to Optimize with Theoretical Guarantees

Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu

2025-06-17CVPR 2024 1
PaperCode
RL-Obfuscation: Can Language Models Learn to Evade Latent-Space Monitors?

Rohan Gupta, Erik Jenner

2025-06-17
PaperCode
Can Large Language Models Improve Spectral Graph Neural Networks?

Kangkang Lu, Yanhua Yu, Zhiyong Huang, Tat-Seng Chua

2025-06-17
Paper
A Variational Information Theoretic Approach to Out-of-Distribution Detection

Sudeepta Mondal, Zhuolin Jiang, Ganesh Sundaramoorthi

2025-06-17Out of Distribution (OOD) DetectionOut-of-Distribution Detection
Paper
Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold Model

Prithvi Raj

2025-06-17
PaperCode
Common Benchmarks Undervalue the Generalization Power of Programmatic Policies

Amirhossein Rajabpour, Kiarash Aghakasiri, Sandra Zilles, Levi H. S. Lelis

2025-06-17Sequential Decision Making
PaperCode
Leveraging Predictive Equivalence in Decision Trees

Hayden McTavish, Zachery Boner, Jon Donnelly, Margo Seltzer, Cynthia Rudin et al.

2025-06-17Model SelectionInterpretable Machine Learning
PaperCode
Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization

Khushnood Abbas, Ruizhe Hou, Zhou Wengang, Dong Shi, Niu Ling et al.

2025-06-17
Paper
Transformers Learn Faster with Semantic Focus

Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray et al.

2025-06-17
Paper
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models

Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham et al.

2025-06-17Time Series ForecastingTime Series
Paper
On the Hardness of Bandit Learning

Nataly Brukhim, Aldo Pacchiano, Miroslav Dudik, Robert Schapire

2025-06-17
Paper
Deep Learning Surrogates for Real-Time Gas Emission Inversion

Thomas Newman, Christopher Nemeth, Matthew Jones, Philip Jonathan

2025-06-17Bayesian InferenceDeep Learning
Paper
The use of cross validation in the analysis of designed experiments

Maria L. Weese, Byran J. Smucker, David J. Edwards

2025-06-17Model Selection
PaperCode
Bayesian Hybrid Machine Learning of Gallstone Risk

Chitradipa Chakraborty, Nayana Mukherjee

2025-06-17regressionDecision MakingHybrid Machine Learning
Paper
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models

Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie

2025-06-17Node ClassificationAllNode Property Prediction
PaperCode
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means

Mikael Møller Høgsgaard, Andrea Paudice

2025-06-17
Paper
Adaptive Data Augmentation for Thompson Sampling

Wonyoung Kim

2025-06-17Data AugmentationMulti-Armed Bandits
Paper
Universal Rates of ERM for Agnostic Learning

Steve Hanneke, Mingyue Xu

2025-06-17Binary Classification
Paper
Unified Software Engineering agent as AI Software Engineer

Leonhard Applis, Yuntong Zhang, Shanchao Liang, Nan Jiang, Lin Tan et al.

2025-06-17Large Language Model
Paper
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