Papers
Data-Centric Graph Condensation via Diffusion Matching
Hengrui Zhang, Philip S. Yu
Local Shuffled Skeleton Position Embedding Vision Transformer for Human Activity Recognition
Zihui Yan, Xiyu Shi, Varuna De SIlva De SIlva
Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning
Xinyu Cao, He Liu, Liyuan Zhang et al.
High-Order Consistency-Guided User Identity Linkage with Large Language Model
Tianpeng Li, Xiangjun Pei, Yinghui Wang et al.
GIIM: A Graph Information Integration Method for Chinese-Kazakh CLIR
Ping Hu, He Yang, Changle Yin et al.
Jailbreak Defense in LLM via Attention Head Analysis and Selective Intervention
Masaki Arai, Toshiki Shibahara, Daiki Chiba et al.
Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs
Jiahao Liu, Zijian Wang, Zhao Kuo et al.
Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
Adrien Prevost, Timothée Mathieu, Odalric-Ambrym Maillard
Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer
Ching Chieh Tsao, Fang-Yi Su, Jung-Hsien Chiang
Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum
Keisuke Kamo, Hideaki Iiduka
Information-Based Exploration via Random Features for Reinforcement Learning
Waris Radji, Odalric-Ambrym Maillard
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
Kanata Oowada, Hideaki Iiduka
Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity
Hanyang LI, Hong Xie, Defu Lian
Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks
Zhihong Xu, Wenjun Shi, Dongchen Zhu et al.
Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference
Yaohua Tang, Zhicheng Hu, Kun Cheng et al.
Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size
Kento Imaizumi, Hideaki Iiduka
Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning
Ziyu Wang, Ping-Chun Hsieh, Yu-Shuen Wang et al.
Deviation-based multiple coefficient item mixer for heterogeneous set-to-set matching
Hirotaka Hachiya, Kajishiro Yukito
AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks
Kai Yuan, Jiahao Zhang, Yidi Wang et al.
Target Return Optimizer for Multi-Game Decision Transformer
Kensuke Tatematsu, Akifumi Wachi
D$^3$epth: Distilling Diffusion Models For Efficient Depth Estimation Through A Two-Stage Approach
Bo-Chih Chuang, Wei-Tung Lin, Shang-Fu Chen et al.
Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
Pei-Kang Lee, Jun-Cheng Chen, Ja-ling Wu