Papers
Lifelong Zero-Shot Learning
Kun Wei, Cheng Deng, Xu Yang
Lifted Hybrid Variational Inference
Yuqiao Chen, Yibo Yang, Sriraam Natarajan et al.
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
Xiang Cheng, Yunzhe Hao, Jiaming Xu et al.
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!
Dingqi Yang, Benjamin Fankhauser, Paolo Rosso et al.
Logic Constrained Pointer Networks for Interpretable Textual Similarity
Subhadeep Maji, Rohan Kumar, Manish Bansal et al.
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory
Wiebe Van der Hoek, Louwe Kuijer, Yì Wáng
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Jian Liu, Leyang Cui, Hanmeng Liu et al.
Lossless Semantic Round-Tripping in PENG ASP
Rolf Schwitter
Lower Bounds and Faster Algorithms for Equality Constraints
Peter Jonsson, Victor Lagerkvist
Lower Bounds for Approximate Knowledge Compilation
Alexis de Colnet, Stefan Mengel
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
Rongzhou Huang, Chuyin Huang, Yubao Liu et al.
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
Zhengxu Yu, Shuxian Liang, Long Wei et al.
MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
Jinho Lee, Raehyun Kim, Seok-Won Yi et al.
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
Xintong Wang, Michael P. Wellman
Marthe: Scheduling the Learning Rate Via Online Hypergradients
Michele Donini, Luca Franceschi, Orchid Majumder et al.
Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks
Robert Bredereck, Lilian Jacobs, Leon Kellerhals
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Nika Haghtalab, Nicole Immorlica, Brendan Lucier et al.
Maximum Nash Welfare and Other Stories About EFX
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas et al.
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
Shujian Yu, Ammar Shaker, Francesco Alesiani et al.
Mechanism Design for School Choice with Soft Diversity Constraints
Haris Aziz, Serge Gaspers, Zhaohong Sun
Mechanism Design with Uncertainty
Taiki Todo
Memory Augmented Neural Model for Incremental Session-based Recommendation
Fei Mi, Boi Faltings
MergeNAS: Merge Operations into One for Differentiable Architecture Search
Xiaoxing Wang, Chao Xue, Junchi Yan et al.
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
Pingchuan Ma, Shuai Wang, Jin Liu
Meta Segmentation Network for Ultra-Resolution Medical Images
Tong Wu, Bicheng Dai, Shuxin Chen et al.