Papers
Learning Intact Features by Erasing-Inpainting for Few-shot Classification
Junjie Li, Zilei Wang, Xiaoming Hu
Learning Interpretable Models for Coupled Networks Under Domain Constraints
Hongyuan You, Sikun Lin, Ambuj Singh
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois R. Hogan, Michael Jenkin et al.
Learning Invariant Representations using Inverse Contrastive Loss
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi et al.
Learning Light-Weight Translation Models from Deep Transformer
Bei Li, Ziyang Wang, Hui Liu et al.
Learning Local Neighboring Structure for Robust 3D Shape Representation
Zhongpai Gao, Junchi Yan, Guangtao Zhai et al.
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan et al.
Learning Model-Based Privacy Protection under Budget Constraints
Junyuan Hong, Haotao Wang, Zhangyang Wang et al.
Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng et al.
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.