Papers
Layer-Assisted Neural Topic Modeling over Document Networks
Yiming Wang, Ximing Li, Jihong Ouyang
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Lichao Sun, Jianwei Qian, Xun Chen
Learn from Concepts: Towards the Purified Memory for Few-shot Learning
Xuncheng Liu, Xudong Tian, Shaohui Lin et al.
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
Shengqiong Wu, Hao Fei, Yafeng Ren et al.
Learning 3-D Human Pose Estimation from Catadioptric Videos
Chenchen Liu, Yongzhi Li, Kangqi Ma et al.
Learning Aggregation Functions
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi et al.
Learning Attributed Graph Representation with Communicative Message Passing Transformer
Jianwen Chen, Shuangjia Zheng, Ying Song et al.
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
Qingyi Si, Yuanxin Liu, Peng Fu et al.
Learning CNF Theories Using MDL and Predicate Invention
Arcchit Jain, Clément Gautrais, Angelika Kimmig et al.
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space
Zheng-Fan Wu, Hui Xue, Weimin Bai
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Sumit Pai, Luca Costabello
Learning from Complementary Labels via Partial-Output Consistency Regularization
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
Learning Generalized Unsolvability Heuristics for Classical Planning
Simon Ståhlberg, Guillem Francès, Jendrik Seipp
Learning Groupwise Explanations for Black-Box Models
Jingyue Gao, Xiting Wang, Yasha Wang et al.
Learning Implicitly with Noisy Data in Linear Arithmetic
Alexander Rader, Ionela G Mocanu, Vaishak Belle et al.
Learning Implicit Temporal Alignment for Few-shot Video Classification
Songyang Zhang, Jiale Zhou, Xuming He
Learning in Markets: Greed Leads to Chaos but Following the Price is Right
Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras
Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen et al.
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Yue Guan, Qifan Zhang, Panagiotis Tsiotras
Learning Spectral Dictionary for Local Representation of Mesh
Zhongpai Gao, Junchi Yan, Guangtao Zhai et al.
Learning Stochastic Equivalence based on Discrete Ricci Curvature
Xuan Guo, Qiang Tian, Wang Zhang et al.
Learning Temporal Plan Preferences from Examples: An Empirical Study
Valentin Seimetz, Rebecca Eifler, Jörg Hoffmann
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
Zhenge Jia, Zhepeng Wang, Feng Hong et al.