Papers
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee, Sunghoon Im, Stephen Lin et al.
Learning of Structurally Unambiguous Probabilistic Grammars
Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson
Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution
Xin Li, Xin Jin, Tao Yu et al.
Learning Precise Temporal Point Event Detection with Misaligned Labels
Julien Schroeter, Kirill Sidorov, David Marshall
Learning Prediction Intervals for Model Performance
Benjamin Elder, Matthew Arnold, Anupama Murthi et al.
Learning Representations for Incomplete Time Series Clustering
Qianli Ma, Chuxin Chen, Sen Li et al.
Learning Rewards From Linguistic Feedback
Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins et al.
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
Xudong Yan, Huaidong Zhang, Xuemiao Xu et al.
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Chris Wendler, Andisheh Amrollahi, Bastian Seifert et al.
Learning Task-Distribution Reward Shaping with Meta-Learning
Haosheng Zou, Tongzheng Ren, Dong Yan et al.
Learning Term Embeddings for Lexical Taxonomies
Jingping Liu, Menghui Wang, Chao Wang et al.
Learning the Parameters of Bayesian Networks from Uncertain Data
Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn et al.
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning
Fengxiang Yang, Zhun Zhong, Hong Liu et al.
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
Lingyun Feng, Minghui Qiu, Yaliang Li et al.
Learning to Check Contract Inconsistencies
Shuo Zhang, Junzhou Zhao, Pinghui Wang et al.
Learning to Copy Coherent Knowledge for Response Generation
Jiaqi Bai, Ze Yang, Xinnian Liang et al.
Learning to Count via Unbalanced Optimal Transport
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al.
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract)
Harsh Sinha, Aditya Mehta, Murari Mandal et al.
Learning to Pre-train Graph Neural Networks
Yuanfu Lu, Xunqiang Jiang, Yuan Fang et al.
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Yichen Wu, Jun Shu, Qi Xie et al.
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman, Vered Shwartz, Rachel Rudinger et al.
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
Taoan Huang, Sven Koenig, Bistra Dilkina
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Wenzhen Huang, Qiyue Yin, Junge Zhang et al.