Papers
A Generalization Result for Convergence in Learning-to-Optimize
Michael Sucker, Peter Ochs
A Generalization Theory for Zero-Shot Prediction
Ronak Mehta, Zaid Harchaoui
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization
Dongpeng Hou, Yuchen Wang, Chao Gao et al.
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
Chungpa Lee, Jongho Im, Joseph H.T. Kim
A General Knowledge Injection Framework for ICD Coding
Xu Zhang, Kun Zhang, Wenxin Ma et al.
A General Representation-Based Approach to Multi-Source Domain Adaptation
Ignavier Ng, Yan Li, Zijian Li et al.
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
Zhiyu Zhang, Wei Chen, Youfang Lin et al.
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
Thanh-Danh Nguyen, Vinh-Tiep Nguyen, Tam V. Nguyen
A Generative Framework for Personalized Sticker Retrieval
Changjiang Zhou, Ruqing Zhang, Jiafeng Guo et al.
A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems
Bo Lin, Huanming Zhang, Yuhua Jiang et al.
A Generic Continuous Multi-Joint Spinal Robotic System for Agile and Accurate Behaviors with GNN-MPC method
Ying Wu, Zida Zhou, Renming Liu et al.
A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
Yufei Huang, Changhu Wang, Junjie Tang et al.
A Generic Framework for Conformal Fairness
Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker et al.
A Generic Vehicle-to-Sensor Calibration Framework
Sumin Hu, Youngmin Yoo, Jeeseong Kim et al.
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
Weibo Gao, Qi Liu, Linan Yue et al.
Agent-as-a-Judge: Evaluate Agents with Agents
Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley et al.
Agent-as-Judge for Factual Summarization of Long Narratives
Yeonseok Jeong, Minsoo Kim, Seung-won Hwang et al.
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei, Shunyu Liu, Jie Song et al.
Agent-based Automated Claim Matching with Instruction-following LLMs
Dina Pisarevskaya, Arkaitz Zubiaga
Agent-based Automated Claim Matching with Instruction-following LLMs
Dina Pisarevskaya, Arkaitz Zubiaga
Agent-based Modeling Meets the Capability Approach for Human Development: Simulating Homelessness Policy-making
Alba Aguilera, Nardine Osman, Georgina Curto
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon et al.
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
Guhong Chen, Liyang Fan, Zihan Gong et al.
AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
Zhong Zhang, Yaxi Lu, Yikun Fu et al.