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hierarchical learning

89 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (18) hierarchical reinforcement learning (9) multi-task learning (8) graph neural network (7) imitation learning (7) representation learning (7) temporal abstraction (6) deep reinforcement learning (6) self-supervised learning (5) feature learning (5)

Papers

Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing ICCV 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Learning Task Decomposition with Ordered Memory Policy Network ICLR 2021 Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach ACL 2021 The staircase property: How hierarchical structure can guide deep learning NeurIPS 2021 Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021 Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020 Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification CVPR 2020 Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020 Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation CoRL 2020 NTU_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach SemEval 2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion CVPR 2020 Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020 Shape-Oriented Convolution Neural Network for Point Cloud Analysis AAAI 2020 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019 Learning Generalized Temporal Abstractions across Both Action and Perception AAAI 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NeurIPS 2019 The Expected-Length Model of Options IJCAI 2019 Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations IJCAI 2019 What Can ResNet Learn Efficiently, Going Beyond Kernels? NeurIPS 2019 Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning EMNLP 2018