Papers
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 Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning
Zhiyuan Fan, Guanqiao Chen, Yanyi Huang 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 Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
Gunjan Balde, Soumyadeep Roy, Mainack Mondal et al.
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 Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
Zexu Sun, Yongcheng Zeng, Erxue Min et al.
Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Peiyang Liu, Zhirui Chen, Xi Wang et al.
Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
Hang Lv, Hongchao Gu, Ruiqing Yang et al.
Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training
Mengxiang Zhang, Lingyuan Liu
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 Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
Tian Xueyun, MingHua Ma, Bingbing Xu et al.
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
Zhihao Shuai, Yiyun Chen, Maolin Ma 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.