Papers
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian et al.
Learning Efficient Truthful Mechanisms for Trading Networks
Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection
Shiman Zhao, Wei Chen, Tengjiao Wang
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Jiewen Deng, Jinliang Deng, Renhe Jiang et al.
Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction
Yingmao Miao, Qiwei Tian, Chenhao Lin et al.
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan et al.
Learning Object Consistency and Interaction in Image Generation from Scene Graphs
Yangkang Zhang, Chenye Meng, Zejian Li et al.
Learning Preference Models with Sparse Interactions of Criteria
Margot Herin, Patrice Perny, Nataliya Sokolovska
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma, Yongqin Xian, Ning Yu et al.
Learning Small Decision Trees with Large Domain
Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani et al.
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video
Zenan Xu, Xiaojun Meng, Yasheng Wang et al.
Learning Survival Distribution with Implicit Survival Function
Yu Ling, Weimin Tan, Bo Yan
Learning to Act for Perceiving in Partially Unknown Environments
Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini et al.
Learning to Binarize Continuous Features for Neuro-Rule Networks
Wei Zhang, Yongxiang Liu, Zhuo Wang et al.
Learning to Design Fair and Private Voting Rules (Extended Abstract)
Farhad Mohsin, Ao Liu, Pin-Yu Chen et al.
Learning to Learn from Corrupted Data for Few-Shot Learning
Yuexuan An, Xingyu Zhao, Hui Xue
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization
Lei Wu, Bin Guo, Qiuyun Zhang et al.
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining
Takaaki Saeki, Soumi Maiti, Xinjian Li et al.
Learning When to Advise Human Decision Makers
Gali Noti, Yiling Chen
Learning When to Use Automatic Tabulation in Constraint Model Reformulation
Carlo Cena, Özgür Akgün, Zeynep Kiziltan et al.
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Yanrui Du, Jing Yan, Yan Chen et al.
Leveraging Argumentation for Generating Robust Sample-based Explanations
Leila Amgoud, Philippe Muller, Henri Trenquier