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hierarchical learning

87 papers

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Co-occurring keywords

reinforcement learning (4122) hierarchical reinforcement learning (168) graph neural network (3945) multi-task learning (2556) imitation learning (741) representation learning (6174) temporal abstraction (75) deep reinforcement learning (903) self-supervised learning (3751) feature learning (1309)

Papers

Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021
Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing ICCV 2021
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors CVPR 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 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 NIPS 2021
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020
Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation CORL 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis AAAI 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion CVPR 2020
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification CVPR 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020
NTU_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach SEMEVAL 2020
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations IJCAI 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels? NIPS 2019
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019
Learning Generalized Temporal Abstractions across Both Action and Perception AAAI 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity IJCNLP 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
The Expected-Length Model of Options IJCAI 2019
DAC: The Double Actor-Critic Architecture for Learning Options NIPS 2019
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning EMNLP 2018