Application Areas

Learning from Mixtures of Private and Public Populations NeurIPS 2020 Learning From Synthetic Animals CVPR 2020 Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning WACV 2020 Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task Interspeech 2020 Learning in the Frequency Domain CVPR 2020 Learning Invariances in Neural Networks from Training Data NeurIPS 2020 Learning Invariant Representation for Unsupervised Image Restoration CVPR 2020 Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems EMNLP 2020 Learning Loss for Test-Time Augmentation NeurIPS 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Learning Multi-Level Dependencies for Robust Word Recognition AAAI 2020 Learning Optimal Tree Models under Beam Search ICML 2020 Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020 Learning Personalized Itemset Mapping for Cross-Domain Recommendation IJCAI 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning Portable Representations for High-Level Planning ICML 2020 Learning Rate Adaptation for Differentially Private Learning AISTATS 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Learning Robust Models for e-Commerce Product Search ACL 2020 Learning Sensitivity of RCPSP by Analyzing the Search Process IJCAI 2020 Learning Sparse Neural Networks for Better Generalization IJCAI 2020 Learning Sparse Sharing Architectures for Multiple Tasks AAAI 2020 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020 Learning Student Networks with Few Data AAAI 2020