Papers
8,127 papers found
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
Ruxue Shi, Hengrui Gu, Hangting Ye et al.
Lazy Testing of Machine-Learning Models
Anastasia Isychev, Valentin Wüstholz, Maria Christakis
Learnable Frequency Decomposition for Image Forgery Detection and Localization
Dong Li, Jiayíng Zhu, Yidi Liu et al.
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
Lele Fu, Bowen Deng, Sheng Huang et al.
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
Maria-Florina Balcan, Dravyansh Sharma
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Hyowon Wi, Jeongwhan Choi, Noseong Park
Learning Causally Disentangled Representations for Fair Personality Detection
Yangfu Zhu, Meiling Li, Yuting Wei et al.
Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations
Yichi Wang, Tian Huang, Dandan Huang et al.
Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits
Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
Rongguang Ye, Ming Tang
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
Yuchen Wang, Dongpeng Hou, Chao Gao et al.
Learning Neural Vocoder from Range-Null Space Decomposition
Andong Li, Tong Lei, Zhihang Sun et al.
Learning Optimal Oblique Decision Trees with (Max)SAT
Florent Avellaneda
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
Rajarshi Roy, Yash Pote, Dave Parker et al.
Learning Real Facial Concepts for Independent Deepfake Detection
Ming-Hui Liu, Harry Cheng, Tianyi Wang et al.
Learning Robust Multi-view Representation Using Dual-masked VAEs
Jiedong Wang, Kai Guo, Peng Hu et al.
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance
Bokai Ji, Guangxia Li, Yulong Shen et al.
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting
Weiqi Chen, Zhaoyang Zhu, Yifan Zhang et al.
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering
Xinxin Wang, Yongshan Zhang, Yicong Zhou
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
Hang Gao, Chenhao Zhang, Tie Wang et al.
LEKA: LLM-Enhanced Knowledge Augmentation
Xinhao Zhang, Jinghan Zhang, Fengran Mo et al.
LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction
Jiesong Bai, Yuhao Yin, Yihang Dong et al.
Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling
Wenchao Weng, Hanyu Jiang, Mei Wu et al.
Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities
Grigorii Khvatskii, Angelica Garcia Martinez, Deng Pan et al.
Leveraging Large Language Models for Active Merchant Non-player Characters
Byungjun Kim, Minju Kim, Dayeon Seo et al.