Papers
Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework
Xiaohan Zhang, Zhangkai Shen, Si-Yuan Cao et al.
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
Qizhi Li, Xuyang Wang, Yingke Chen et al.
Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation
Rui Yang, Yunfei Bai, Yuehua Liu et al.
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal Seghrouchni
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Mengran Li, Zelin Zang, Wenbin Xing et al.
Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
Qiang Bai, Bojian Wu, Xi Yang et al.
Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation
Jiong Tao, Yong-Liang Yang, Bailin Deng
Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
Jing Cao, Kui Jiang, Shenyi Li et al.
Learning DFAs from Positive Examples Only via Word Counting
Benjamin Bordais, Daniel Neider
Learning Diffusion Policy from Primitive Skills for Robot Manipulation
Zhihao Gu, Ming Yang, Difan Zou et al.
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
Bohan Zhou, Haoqi Yuan, Yuhui Fu et al.
Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)
Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
Yuan Dong, Zhe Zhao, Liheng Yu et al.
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
Chuxun Liu, Qingfeng Chen, Debo Cheng et al.
Learning Fair Representations with Kolmogorov-Arnold Networks
Amisha Priyadarshini, Sergio Gago-Masague
Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding
Roberto Borelli, Agostino Dovier
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
Wenliang Zhong, Haiqing Li, Thao M. Dang et al.
Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds
Zhecheng Yu, Yan Lyu, Chen Yang et al.
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
Learning from Long-Term Engagement: Adaptive Tutoring Dialogue Planning for Personalized Education
Zhiang Dong, Zhenlong Dai, Xiangwei Lv et al.
Learning from Reasoning Failures via Synthetic Data Generation
Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu et al.
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
Lei Chen, Tengteng Cheng, BoYu Gao et al.
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
Learning Heuristic Functions for HTN Planning
Daniel Höller