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Papers (including subtopics)

Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning WACV 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020 Geometric Dataset Distances via Optimal Transport NeurIPS 2020 Global Bootstrapping Neural Network for Entity Set Expansion EMNLP 2020 GoEmotions: A Dataset of Fine-Grained Emotions ACL 2020 Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task ACL 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Gradient-EM Bayesian Meta-Learning NeurIPS 2020 GradMix: Multi-source Transfer across Domains and Tasks WACV 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Graph-based Aspect Representation Learning for Entity Resolution COLING 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Graph-Guided Architecture Search for Real-Time Semantic Segmentation CVPR 2020 Graph Meta Learning via Local Subgraphs NeurIPS 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 GraphOpt: Learning Optimization Models of Graph Formation ICML 2020 Graph Policy Network for Transferable Active Learning on Graphs NeurIPS 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NeurIPS 2020 Grounded Adaptation for Zero-shot Executable Semantic Parsing EMNLP 2020 Group-Fair Online Allocation in Continuous Time NeurIPS 2020 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NeurIPS 2020 GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations RSS 2020 Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020 Harnessing Code Switching to Transcend the Linguistic Barrier IJCAI 2020