Papers
Learning Spatio-temporal Feature Representations for Video-based Gaze Estimation
Alexandre Personnic, Mihai Bace
Learning Structurally Stabilized Representations for Lossless DNA Storage
Ben Cao, Xue Li, Tiantian He et al.
Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning
Vedang Kshirsagar, Saketh Juturu, Geetank Raipuria et al.
Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals
Bayu Adhi Tama, Jianwu Wang, Vandana Janeja et al.
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics
Lincen Yang, Zhong Li, Matthijs van Leeuwen et al.
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
Gaole Dai, Huatao Xu, Yifan Yang et al.
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
Yu Song, Zhigang Hua, Yan Xie et al.
Learning Through Concepts: Hierarchies, Logic and Reasoning
Deepika SN Vemuri
Learning Time in Static Classifiers
Xi Ding, Lei Wang, Piotr Koniusz et al.
Learning to Animate Images from A Few Videos to Portray Delicate Human Actions
Haoxin Li, Yingchen Yu, Qilong Wu et al.
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
Daixian Liu, Hau-Sing So, Haoran Chen et al.
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
Inderjeet Singh, Eleonore Vissol-Gaudin, Andikan Otung et al.
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Qisen Chai, Yansong Wang, Junjie Huang et al.
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
Yeqin Zhang, Yizheng Zhao, Chen Hu et al.
Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
Gang Cheng, Haibo Jin, Wenbin Zhang et al.
Learning to Cooperate with Minimal Observability
Chin-wing Leung, Paolo Turrini, Fernando P. Santos et al.
Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity
Xovee Xu, Shuojun Lin, Fan Zhou et al.
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
Yingji Zhang, Marco Valentino, Danilo Carvalho et al.
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
Jinhu Fu, Yan Bai, Longzhu He et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction
Guangjun Zhang, Hu Zhang, Yazhou Han et al.
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
Jing Xiao, Xinhai Chen, Jiaming Peng et al.
Learning to Ideate for Machine Learning Engineering Agents
Yunxiang Zhang, Kang Zhou, Zhichao Xu et al.
Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
Clemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi