Papers
Learning to Break Symmetries for Efficient Optimization in Answer Set Programming
Alice Tarzariol, Martin Gebser, Konstantin Schekotihin et al.
Learning to Count Isomorphisms with Graph Neural Networks
Xingtong Yu, Zemin Liu, Yuan Fang et al.
Learning to Defer with Limited Expert Predictions
Patrick Hemmer, Lukas Thede, Michael Vössing et al.
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features
Lei Wang, Zejian Yuan, Badong Chen
Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking
Jinyu Guo, Kai Shuang, Kaihang Zhang et al.
Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation
Yunpeng Li, Yue Hu, Yajing Sun et al.
Learning to Learn Better for Video Object Segmentation
Meng Lan, Jing Zhang, Lefei Zhang et al.
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues
Ruijun Chen, Jin Wang, Liang-Chih Yu et al.
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents
Eric Zhao, Alexander R. Trott, Caiming Xiong et al.
Learning Topology-Specific Experts for Molecular Property Prediction
Suyeon Kim, Dongha Lee, SeongKu Kang et al.
Learning to See the Physical World
Jiajun Wu
Learning to Select from Multiple Options
Jiangshu Du, Wenpeng Yin, Congying Xia et al.
Learning to Select Pivotal Samples for Meta Re-weighting
Yinjun Wu, Adam Stein, Jacob Gardner et al.
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
Yifei Zhang, Neng Gao, Cunqing Ma
Learning to Shape Rewards Using a Game of Two Partners
David Mguni, Taher Jafferjee, Jianhong Wang et al.
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera
Jing Zhao, Ruiqin Xiong, Jian Zhang et al.
Learning towards Selective Data Augmentation for Dialogue Generation
Xiuying Chen, Mingzhe Li, Jiayi Zhang et al.
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li, Yuanzhi Jiang, Changchun Li et al.
Learn More for Food Recognition via Progressive Self-Distillation
Yaohui Zhu, Linhu Liu, Jiang Tian
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
He Wang, Lin Wan, He Tang
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
Yanlong Huang, Wenxin Tai, Ting Zhong et al.
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Mingxuan Ju, Yujie Fan, Chuxu Zhang et al.
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering
Pei Zhang, Siwei Wang, Liang Li et al.
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks
Bowen Tian, Qinliang Su, Jianxing Yu