Papers
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 Child-directed Speech in Two-language Scenarios: A French-English Case-Study
Liel Binyamin, Elior Sulem
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 Scarcity: Building and Benchmarking Speech Technology for Sukuma.
Macton Mgonzo, Kezia Oketch, Naome A Etori 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 from Unknown for Open-Set Test-Time Adaptation
Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel et al.
Learning Group Actions In Disentangled Latent Image Representations
Farhana Hossain Swarnali, Miaomiao Zhang, Tonmoy Hossain
Learning Heuristic Functions for HTN Planning
Daniel Höller
Learning Heuristic Functions with Graph Neural Networks for Numeric Planning
Valerio Borelli, Alfonso Gerevini, Enrico Scala et al.
Learning Intrinsic Hierarchy for Generalized Category Discovery
Yu Duan, Junzhi He, Zhanxuan Hu et al.
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
Reda Ouhamma, Maryam Kamgarpour
Learning Knowledge from Textual Descriptions for 3D Human Pose Estimation
Yi Wu, Jingtian Li, Shangfei Wang et al.
Learning Label Distribution with Dirichlet Process Mixture Model
Minglong Wang, Weiwei Li, Yunan Lu et al.
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma
Ji Rao, Xinyu Liu, Yong Yi et al.
Learning Multilingual Agentic Policy to Control Sycophancy
Leonardo Ranaldi, Giulia Pucci