output
20142024
most citedNeural Machine Translation with Reconstruction

60 citations

Showing 2019Show all

5 papers · 1 filter

cs.CV20198 cited

Adversarial Domain Adaptation with Domain Mixup

Minghao Xu, Jian Zhang, Bingbing Ni +4

Recent works on domain adaptation reveal the effectiveness of adversarial learning on filling the discrepancy between source and target domains. However, two common limitations exi…

cs.AI20196 cited

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Hangyu Mao, Wulong Liu, Jianye Hao +5

Social psychology and real experiences show that cognitive consistency plays an important role to keep human society in order: if people have a more consistent cognition about thei…

cs.CV201914 cited

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection

Lewei Yao, Hang Xu, Wei Zhang +2

The state-of-the-art object detection method is complicated with various modules such as backbone, feature fusion neck, RPN and RCNN head, where each module may have different desi…

cs.LG20199 cited

Meta Reinforcement Learning with Task Embedding and Shared Policy

Lin Lan, Zhenguo Li, Xiaohong Guan +1

Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization. Recent efforts apply meta-learning to learn a meta-learner…

cs.LG2019

Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks

Nima Mohajerin, Mohsen Rohani

We investigate the multi-step prediction of the drivable space, represented by Occupancy Grid Maps (OGMs), for autonomous vehicles. Our motivation is that accurate multi-step predi…