Papers
Formal Abductive Latent Explanations for Prototype-Based Networks
Jules Soria, Zakaria Chihani, Julien Girard-Satabin et al.
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
Yu Song, Zhigang Hua, Yan Xie et al.
COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series
Xinxin Song, Yuxiao Cheng, Tingxiong Xiao et al.
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
Tianle Song, Chenhao Lin, Yang Cao et al.
Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs
Shezheng Song, Kangcheng Ding, Shan Zhao et al.
Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning
Qipeng Song, Nan Yang, Ziqi Xu et al.
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning
Lingyun Song, Ziyao Chen, Kang Pan et al.
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
Chuancheng Song, Hanyang Shen, Yan Dong et al.
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
Baogang Song, Dongdong Zhao, Jianwen Xiang et al.
Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry
Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy et al.
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard
Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge
Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar et al.
CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay P. Namboodiri
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
Inderjeet Singh, Eleonore Vissol-Gaudin, Andikan Otung et al.
Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber
Quantum Non-Linear Bandit Optimization
Zakaria Shams Siam, Chaowen Guan, Chong Liu
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
Wenwen Si, Sooyong Jang, Insup Lee et al.
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
Leping Si, Meimei Yang, Hui Xue et al.
WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
Zishan Shu, Juntong Wu, Wei Yan et al.
Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting
Yuxuan Shu, Vasileios Lampos
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
Elad Shoham, Omri Haber, Havana Rika et al.
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Mohammad Shirzadi, Ali Safarpoor Dehkordi, Ahad N. Zehmakan
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
Zitong Shi, Guancheng Wan, Wenke Huang et al.
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
Zhongjie Shi, Puyu Wang, Chenyang Zhang et al.