54 citations · 191 across the 18 of their papers we have counts for
18 papers
Efficient-Adam: Communication-Efficient Distributed Adam
Congliang Chen, Li Shen, Wei Liu +1
Distributed adaptive stochastic gradient methods have been widely used for large-scale nonconvex optimization, such as training deep learning models. However, their communication c…
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev +4
Safe reinforcement learning (RL) aims to learn policies that satisfy certain constraints before deploying them to safety-critical applications. Previous primal-dual style approache…
Rethinking the Spatial Route Prior in Vision-and-Language Navigation
Xinzhe Zhou, Wei Liu, Yadong Mu
Vision-and-language navigation (VLN) is a trending topic which aims to navigate an intelligent agent to an expected position through natural language instructions. This work addres…
Simple Distillation Baselines for Improving Small Self-supervised Models
Jindong Gu, Wei Liu, Yonglong Tian
While large self-supervised models have rivalled the performance of their supervised counterparts, small models still struggle. In this report, we explore simple baselines for impr…
Robust Pose Transfer with Dynamic Details using Neural Video Rendering
Yang-tian Sun, Hao-zhi Huang, Xuan Wang +3
Pose transfer of human videos aims to generate a high fidelity video of a target person imitating actions of a source person. A few studies have made great progress either through…
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Guiyu Tian, Wenhao Jiang, Wei Liu +1
This paper presents Poisoning MorphNet, the first backdoor attack method on point clouds. Conventional adversarial attack takes place in the inference stage, often fooling a model…