Papers
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen, Simon Witzke, Katharina Baum et al.
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen et al.
Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models
Xin Huang, Ruibin Li, Tong Jia et al.
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network
Sujia Huang, Lele Fu, Shuman Zhuang et al.
DONIS: Importance Sampling for Training Physics-Informed DeepONet
Shudong Huang, Rui Huang, Ming Hu et al.
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
Sheng Huang, Lele Fu, Tianchi Liao et al.
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion
Wei Hua, Chenlin Zhou, Jibin Wu et al.
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
Peng Hu, Yang Qin, Yuanbiao Gou et al.
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control
Peiyan Hu, Haodong Feng, Yue Wang et al.
A Correlation Manifold Self-Attention Network for EEG Decoding
Chen Hu, Rui Wang, Xiaoning Song et al.
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu, Hanchi Ren, Jingjing Deng et al.
An Inverse Optimization Approach to Contextual Inverse Optimization
Yasunari Hikima, Naoyuki Kamiyama
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He, Yili Wang, Wenqi Fan et al.
Graph Embedded Contrastive Learning for Multi-View Clustering
Hongqing He, Jie Xu, Guoqiu Wen et al.
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
Haoqi He, Xiaokai Lin, Jiancai Chen et al.
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
Somnath Hazra, Pallab Dasgupta, Soumyajit Dey
Human-Imperceptible, Machine-Recognizable Images
Fusheng Hao, Fengxiang He, Yikai Wang et al.
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo, Bohui An, Zhongqi Lu
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
Weiran Guo, Guanjun Liu, Ziyuan Zhou et al.
Towards Debiased Generalized Category Discovery
Pengcheng Guo, Yonghong Song, Boyu Wang
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
Kai Guo, Jiedong Wang, Xi Peng et al.
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network
Zeli Guan, Yawen Li, Junping Du et al.
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Jiawei Gu, Ziyue Qiao, Zechao Li
Flexible Generalized Low-Rank Regularizer for Tensor RPCA
Zhiyang Gong, Jie Yu, Yutao Hu et al.