Papers
176,624 papers found
HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models
Hongyi Zhou, Jianfeng Pan, Min Peng et al.
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
Tingyi Cai, Yunliang Jiang, Ming Li et al.
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
Yi Shan, Liyang Gao, Yuena Lin et al.
Hyperion: Private Token Sampling with Homomorphic Encryption
Lawrence Lim, Jiaming Liu, Vikas Kalagi et al.
HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction
Haoyu Jiang, Boan Qu, Junjie Zhu et al.
HyperMem: Hypergraph Memory for Long-Term Conversations
Juwei Yue, Chuanrui Hu, Jiawei Sheng et al.
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
Ming Li, Zhanle Zhu, Xinyi Li et al.
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
Disen Hu, Xun Jiang, Xiaofeng Cao et al.
HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene
Mijeong Kim, Namgi Kim, Bohyung Han
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Marcel Wever, Maximilian Muschalik, Fabian Fumagalli et al.
HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation
Qianren Guo, Yuehang Wang, Yongji Zhang et al.
HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition
Weiyi Ye, Xu-Hua Yang, Dong Wei et al.
Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint)
Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
Mingxuan Li, Hanchen Li, Chenhao Tan
Hypothesis-Driven Reasoning for Large Language Models
Aakash Kumar Agarwal, Moyuru Yamada
HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection
Anush Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni et al.
HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems
Ricardo G. Sanfelice
I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
Huilin Deng, Hongchen Luo, Yue Zhu et al.
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle
Zhaoquan Yuan, Zining Wang, Yuankang Pan et al.
I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing
Jinghan Yu, Junhao Xiao, Chenyu Zhu et al.
I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks
Ruichen Ma, Liwei Meng, Guanchao Qiao et al.
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Yanhui Li, Yunkang Cao, Chengliang Liu et al.
iBERT: Interpretable Embeddings via Sense Decomposition
Vishal Anand, Milad Alshomary, Kathleen McKeown
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng et al.
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi et al.