Papers
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
Multi-thresholding Good Arm Identification with Bandit Feedback
Xuanke Jiang, Sherief Hashima, Kohei Hatano et al.
Iterative Selection with Self-Review for Vocabulary Test Distractor Generation
Yu-Cheng Liu, An-Zi Yen
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model
Sihao Wu, Gaojie Jin, Wei Huang et al.
Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer
Abdur Rehman, S M A Sharif, Md Abdur Rahaman et al.