Papers
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
Xixun Lin, Wenxiao Zhang, Fengzhao Shi et al.
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
Fuzhong Zhou, Chenyu Zhang, Xu Chen et al.
Graph Out-of-Distribution Detection Goes Neighborhood Shaping
Tianyi Bao, Qitian Wu, Zetian Jiang et al.
Graph Positional and Structural Encoder
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné et al.
Graph Structure Extrapolation for Out-of-Distribution Generalization
Xiner Li, Shurui Gui, Youzhi Luo et al.
Graph-Triggered Rising Bandits
Gianmarco Genalti, Marco Mussi, Nicola Gatti et al.
GRATH: Gradual Self-Truthifying for Large Language Models
Weixin Chen, Dawn Song, Bo Li
Grokking Group Multiplication with Cosets
Dashiell Stander, Qinan Yu, Honglu Fan et al.
GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
Zheng Zhang, Na Wang, Ziqi Zhang et al.
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas Tck Zhang, Bruce D Lee, Ingvar Ziemann et al.
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
Lingxiao Yang, Shutong Ding, Yifan Cai et al.
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Luca Beurer-Kellner, Marc Fischer, Martin Vechev
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo et al.
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin, Jiahao Huang, Zhongying Deng et al.
Handling Heterogeneous Curvatures in Bandit LQR Control
Yu-Hu Yan, Jing Wang, Peng Zhao
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
Myungsik Cho, Jongeui Park, Suyoung Lee et al.
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin et al.
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Li Shen et al.
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
Hannes Stark, Bowen Jing, Regina Barzilay et al.
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang et al.
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng et al.
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky et al.
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang, Qianqian Xu, Zitai Wang et al.
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li, Tianqi Wang, Junwei Chen et al.
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
Ning Liu, Yiming Fan, Xianyi Zeng et al.